Training in Robotic Surgery-an Overview

Making surgical education intuitive: A surgical robotics primer for pre-clinical medical students

BACKGROUND

As robotic surgeries increase nationwide, residency programs are implementing commensurate curriculum. Medical student exposure and comfort with these surgeries, however, is lagging. This program sought to improve student interest and confidence through additional robotic exposure.

METHODS

A two-part educational program was implemented at an academic institution. Part-one included a surgeon-led lecture and part-two a hands-on robotics primer where students were exposed to 3-D anatomy and instrumentation via robotic console. Data was collected via RedCap and analyzed for significance (p ​< ​0.05).

RESULTS

Thirty-two students participated in part one, ten of which were selected for part two. The majority (82 ​%) reported being interested or very interested in pursuing additional robotic experiences and 40 ​% reported improved confidence in actively assisting in a robotics case (p ​< ​0.005).

CONCLUSION

Conducting robotic exposure events improves medical students' confidence and interest in seeking future robotic surgery experiences. As robotic surgery expands, medical students have shown to benefit from earlier exposure.

Guidelines for robotic credentialling in reconstructive and functional urology. Consensus study

Objectives

This study aims to define criteria for robotic reconstructive and functional urology credentialing using expert consensus. A recent narrative review identified a lack of standardised minimal requirements for performing robotic-assisted surgery procedures. The substantial variability or absence of a standardised curriculum and credentialing process within a highly specialised surgical field is often insufficient to guarantee surgeon proficiency and could potentially jeopardise patient safety.

Subjects and Methods

Thirty-five international robotic surgery experts in urology and urogynaecology, selected based on surgical and research expertise, were invited to participate as expert panellists. Using a modified Delphi process the experts were asked to indicate their agreement with the proposed list of recommendations that was identified from the literature and review of relevant international credentialing policies in three electronic survey rounds.

Results

Fourteen experts participated in round 1 of online surveys, 9 in round 2 and 13 in round 3. From 50 statements presented to the Delphi panel in round 1, a total of 39 recommendations (32 from round 1, 4 from round 2 and 3 from round 3) with median importance (MI) ≥ 7 and disagreement index (DI) < 1 were proposed for inclusion into the final draft set and were reviewed by the project team. Panellists agreed reconstructive and functional urology required its own specific modular training curriculum as the foundation for robotic training and a surgeon must have appropriate training i.e., fellowship or evidence of speciality training in functional urology.

Conclusions

This was the first study to develop preliminary guidelines on credentialing for robotic surgery in reconstructive and functional urology. A Delphi approach was employed to establish comprehensive credentialing criteria for robotic-assisted surgery. The consistent adoption of these criteria across institutions will foster the proficiency of robotic surgeons and has the potential to bring improvements in patient outcomes.

Virtual reality simulations in robotic surgery training: a systematic review and meta-analysis

OBJECTIVE

To compare VR simulations with other training methods regarding improvements in objective assessment scores and task completion times.

METHOD

A database search was conducted on 20 May 2024 across Central, MEDLINE, EMBASE, Web of Science, and Scopus. Included were randomised controlled trials comparing VR simulations to other training methods, assessing objective scores and task times. The Risk of Bias-2 tool was used for bias assessment.

RESULTS

Eighteen studies were included. VR significantly improved objective scores (n = 339, SMD 1.04, 95% CI 0.40-1.69, P = 0.002) and reduced task completion times (n = 357, SMD of -1.08, 95% CI of as - 2.05 to - 0.12, P = 0.03) compared to no additional training. VR was as effective as dry lab training for improving scores (n = 213, SMD -0.47, 95% CI - 1.34 to 0.41, P = 0.30) and task times (n = 98, SMD - 0.37, 95% CI - 1.51 to 0.78, P = 0.53). However, one study found wet lab training significantly reduced task times compared to VR (n = 20, SMD of 1.7, 95% CI of 0.65-2.76, P = 0.002). No significant differences were found when VR alone was compared to VR with expert advice.

CONCLUSION

VR is more effective than no additional training and is as effective as dry lab training in robotic skill acquisitions. Therefore, VR is effective in enhancing robotic surgery skills and warrants an expanded role in surgical training programmes.

3D monitors improve performance on the HUGO™ RAS system: a randomised trial

BACKGROUND

Robot-assisted surgery is used worldwide, allowing surgeons to perform complex surgeries with increased precision and flexibility. It offers technical benefits compared to traditional laparoscopic surgery due to its utilization of both 3D vision and articulated instruments. The objective was to investigate the isolated effect of 3D- versus 2D monitors when working with articulated instruments in robot-assisted surgery.

METHODS

Surgical novices (medical students, n = 31) were randomized to simulation-based training with either the 3D vision switched on or off. Both groups completed each of the four exercises six times over two sessions on the Medtronic Hugo™ RAS system simulator. The outcome was the simulator performance parameters and a visual discomfort questionnaire.

RESULTS

For the efficiency parameters, we found that both groups improved over time (p < 0.001) and that the intervention group (3D) consistently outperformed the control (2D) group (p < 0.001). On the other hand, we didn't find any significant difference in the error metrics, such as drops (p-values between 0.07 and 0.57) and instrument collisions (p-values between 0.09 and 0.26). Regarding Visual Discomfort, it was significantly more difficult for the 3D group to focus (p = 0.001).

CONCLUSION

3D monitors for an open robotic console improve efficiency and speed compared to 2D monitors in a simulated setting when working with articulated instruments.

Anterior Colporrhaphy and Paravaginal Repair for Anterior Compartment Prolapse: A Review

Pelvic organ prolapse, particularly in the anterior compartment, is a prevalent condition that significantly impacts women's quality of life. Two common surgical approaches for managing anterior vaginal wall prolapse are anterior colporrhaphy and paravaginal repair. Anterior colporrhaphy, a traditional technique, involves the plication of weakened fascial tissues to restore support to the bladder and anterior vaginal wall. Paravaginal repair addresses lateral detachment of the anterior vaginal wall by reattaching it to its supportive structures. This review aimed to compare the indications, techniques, and outcomes between these surgical methods, discussing their efficacy, recurrence rates, and complications. Although anterior colporrhaphy is widely used, paravaginal repair may offer superior results in specific cases, particularly those involving lateral defects. The review also explored the evolution of these techniques, the role of grafts and mesh, and the potential benefits of minimally invasive approaches such as laparoscopy and robotic surgery. The goal is to provide clinicians with comprehensive insights into choosing the appropriate surgical option based on individual patient anatomy and clinical presentation, thus optimizing outcomes and minimizing recurrence.

From the simulation lab to the operating room: simulation performance predicts intraoperative performance in robotic gastrojejunostomy

BACKGROUND

Simulation and video-based assessment (VBA) offer residents the opportunity to develop operative skills while ensuring patient safety. This study aims to determine whether simulation training can predict residents' operative performance, focusing on the gastrojejunal (GJ) anastomosis during robotic pancreatoduodenectomy.

METHODS

Twenty-seven general surgery residents completed simulated robotic GJ drills and subsequently performed GJs in the operating room (OR). Both simulated and intraoperative performances were video recorded and retrospectively assessed by two blinded graders using the Objective Structural Assessment of Technical Skills (OSATS) scale, time to completion, and occurrence of errors. Intraoperative GJ OSATS scores were compared in cases with and without Clinically Relevant Delayed Gastric Emptying (CRDGE). Statistical analysis was performed using Spearman's rho, Chi-square, and Kruskal-Wallis tests.

RESULTS

For simulated GJs, the median OSATS score was 29 (IQR 27-33), time to completion was 30 min (IQR 27-35), and 11 cases had at least one error. Intraoperative GJs had a median OSATS of 30 (IQR 27-31), time to completion of 41 min (IQR 36-51), and errors occurred in nine cases. The OSATS score on the simulated GJs demonstrated a significant positive correlation to the OSATS score on the operative GJs (r = 0.74; p < 0.001) and less time to completion (r =  - 0.68; p < 0.001). A shorter simulated GJ completion time significantly correlated with a higher intraoperative OSATS score (r =  - 0.52; p < 0.01). Residents with at least one error in the simulated GJs had lower OSATS scores and higher times intraoperatively. Those cases with CRDGE had significantly lower intraoperative OSATS scores than those without CRDGE.

CONCLUSION

Performance on a simulated robotic GJ environment is a robust predictor of OR GJ performance, demonstrating predictive validity. VBA of residents' operative GJ performance is associated with the presentation of CRDGE. Simulation-based training may be crucial to optimizing surgical outcomes before operating on patients.

Use of the Medtronic Hugo Robot-Assisted Surgery (RAS) System in Urogynecology: A Safety and Feasibility Study of the First 100 Procedures

INTRODUCTION

This study evaluates the safety and feasibility of the Medtronic Hugo robot-assisted surgery (RAS) system in gynecological and urogynecological procedures. Through a retrospective analysis of prospectively collected data from the first 100 surgeries performed at Apollo Hospitals Chennai, we aim to provide insights into the system's effectiveness, including outcomes, complications, and overall surgical efficiency in major gynecological and urogynecological operations.

METHODS

A single experienced robotic surgeon conducted the surgeries, including hysterectomies (n=66). Other common procedures performed were for pelvic organ prolapse (n=12), vesicovaginal fistula (VVF) (n=8), and ovarian cystectomies (n=8). Data on patient demographics, peri and postoperative outcomes, complications, and 30-day readmission rates were collected and analyzed.

RESULTS

All surgeries were completed without open conversions. One patient experienced a sigmoid colon injury intraoperatively due to severe adhesions from endometriosis; the injury was repaired intraoperatively, and the patient had an uneventful recovery. No patients experienced Clavien-Dindo grade 2 postoperative complications, and there were no readmissions within 30 days. The median docking time was 10.4 ± 2.2 minutes, console time was 60.5 ± 19.7 minutes, and hospital stays ranged from 1 to 4 days, all within acceptable ranges.

CONCLUSIONS

The Medtronic Hugo RAS system demonstrates safety and feasibility in major urogynecology procedures, suggesting its potential as a valuable addition to robotic surgical platforms.

Robotic donor hepatectomy for living donor liver transplantation

Robotic donor hepatectomy introduces a new era in living donor liver transplantation (LDLT), combining advancements in minimally invasive surgery with superior precision and ergonomics. The beginning of LDLT in 1989 aimed to address the scarcity of deceased donor livers, a situation intensified by the technical and ethical challenges associated with this procedure. The integration of robotic systems since 2010s has broadened the scope and impact of liver transplantation, enhancing outcomes significantly for both donors and recipients. This review discusses the significant advancements in robotic surgery, the ongoing challenges such as cost and training needs, and the future toward global standardization and the integration of artificial intelligence. As this technology continues to evolve, it holds the potential to become the new global standard, ensuring safer procedures and enhanced outcomes for patients worldwide.

Assessment of the evolution of psychomotor skills in the robotic surgery simulation process

Robotic surgery is a rapidly expanding field, given the wide variety of new robotic platforms emerging. Looking at the training of surgeons in robotic surgery is of extreme necessity and urgency, considering the ongoing technological advancements. In this research, the performance during the virtual reality simulation phase of training for robotic surgery was analyzed. It was observed that, in addition to the lack of consensus among societies regarding the required simulation hours, there is no guidance on the best curriculum to be adopted. From the data in this study, it can be inferred that the more advanced skills have fewer proficient individuals, meaning that fewer surgeons in training have reached proficiency in all skill exercises. Even with differences in the number of exercises performed proficiently between groups that underwent varying amounts of simulation time, there is no statistically significant difference in the proportion between them.

Early adoption of robotic lung resection in an established video assisted thoracic surgery practice

Background

Reported advantages to robotic thoracic surgery include shorter length of stay (LOS), improved lymphadenectomy, and decreased complications. It is uncertain if these benefits occur when introducing robotics into a well-established video-assisted thoracoscopy (VATS) practice. We compared the two approaches to investigate these advantages.

Materials and methods

IRB approval was obtained for this project. Patients who underwent segmentectomy or lobectomy from May 2016-December 2018 were propensity-matched 2: 1 (VATS: robotic) and compared using weighted logistic regression with age, gender, Charlson Comorbidity Index, surgery type, stage, Exparel, and epidural as covariates. Complication rates, operation times, number of sampled lymph nodes, pain level, disposition, and LOS were compared using Wilcoxon rank-sum and with Rao-Scott Chi-squared tests.

Results

213 patients (142 VATS and 71 robot) were matched. Duration of robotic cases was longer than VATS (median 186 min (IQR 78) vs. 164 min (IQR 78.75); p < 0.001). Significantly more lymph nodes (median 11 (IQR 7.50) vs. 8 (IQR 7.00); p = 0.004) and stations were sampled (median 4 (IQR 2.00) vs. 3 (IQR 1.00); p < 0.001) with the robot. Interestingly, robotic resections had higher 72-hour pain scores (median 3 (IQR 3.25) vs. 2 (IQR 3.50); p = 0.04) and 48-hour opioid usage (median 37.50 morphine milligram equivalents (MME) (IQR 45.50) vs. 22.50 MME (IQR 37.50); p = 0.01). Morbidity, LOS, and disposition were similar (all p > 0.05).

Conclusions

The robotic approach facilitates better lymph node sampling, even in an established VATS practice.

A novel affordable user interface for robotic surgery training: design, development and usability study

Introduction

The use of robotic systems in the surgical domain has become groundbreaking for patients and surgeons in the last decades. While the annual number of robotic surgical procedures continues to increase rapidly, it is essential to provide the surgeon with innovative training courses along with the standard specialization path. To this end, simulators play a fundamental role. Currently, the high cost of the leading VR simulators limits their accessibility to educational institutions. The challenge lies in balancing high-fidelity simulation with cost-effectiveness; however, few cost-effective options exist for robotic surgery training.

Methods

This paper proposes the design, development and user-centered usability study of an affordable user interface to control a surgical robot simulator. It consists of a cart equipped with two haptic interfaces, a VR visor and two pedals. The simulations were created using Unity, which offers versatility for expanding the simulator to more complex scenes. An intuitive teleoperation control of the simulated robotic instruments is achieved through a high-level control strategy.

Results and Discussion

Its affordability and resemblance to real surgeon consoles make it ideal for implementing robotic surgery training programs in medical schools, enhancing accessibility to a broader audience. This is demonstrated by the results of an usability study involving expert surgeons who use surgical robots regularly, expert surgeons without robotic surgery experience, and a control group. The results of the study, which was based on a traditional Peg-board exercise and Camera Control task, demonstrate the simulator's high usability and intuitive control across diverse user groups, including those with limited experience. This offers evidence that this affordable system is a promising solution for expanding robotic surgery training.

Cognitive load in tele-robotic surgery: a comparison of eye tracker designs

PURPOSE

Eye gaze tracking and pupillometry are evolving areas within the field of tele-robotic surgery, particularly in the context of estimating cognitive load (CL). However, this is a recent field, and current solutions for gaze and pupil tracking in robotic surgery require assessment. Considering the necessity of stable pupillometry signals for reliable cognitive load estimation, we compare the accuracy of three eye trackers, including head and console-mounted designs.

METHODS

We conducted a user study with the da Vinci Research Kit (dVRK), to compare the three designs. We collected eye tracking and dVRK video data while participants observed nine markers distributed over the dVRK screen. We compute and analyze pupil detection stability and gaze prediction accuracy for the three designs.

RESULTS

Head-worn devices present better stability and accuracy of gaze prediction and pupil detection compared to console-mounted systems. Tracking stability along the field of view varies between trackers, with gaze predictions detected at invalid zones of the image with high confidence.

CONCLUSION

While head-worn solutions show benefits in confidence and stability, our results demonstrate the need to improve eye tacker performance regarding pupil detection, stability, and gaze accuracy in tele-robotic scenarios.

Efficacy of educational stepwise robot-assisted radical prostatectomy procedure for urology residents

OBJECTIVE

To evaluate the effectiveness of an educational stepwise robot-assisted radical prostatectomy (RARP) procedure for urology residents.

METHODS

We performed a detailed evaluation of 42 RARP procedures performed by a single urology resident from July 2019 to February 2022. The RARP procedures were divided into the following nine steps: (1) bladder dissection, (2) endopelvic fascia dissection, (3) bladder neck dissection, (4) seminal vesicle dissection, (5) Denonvilliers' fascia dissection, (6) dorsal vascular complex ligation, (7) dissection of the prostatic apex, (8) posterior anastomosis, and (9) urethro-vesical anastomosis. The procedures were further subcategorized as anatomical understanding, spatial recognition, and technical skills for evaluation of resident training. The surgeries were divided into first and second halves, and patient characteristics and operative outcomes were statistically analyzed. The operative time of each of the nine steps and the reasons for proctor intervention were compared.

RESULTS

Among 42 patients, there were no significant differences in operative outcomes between the two groups. The median operative time was 169 min (164 vs. 179 min, p = .12), and the median console time was 128 min (127 vs. 130 min, p = .74). Although there were no significant differences in the time of the nine steps, the resident significantly overcame (7) dissection of the prostatic apex and (8) posterior anastomosis based on the evaluation of the proctored reasons for intervention.

CONCLUSIONS

Urology residents can safely perform and efficiently learn RARP with this stepwise educational system. This educational stepwise RARP procedure can effectively help residents to develop their skills.

Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery

Neurosurgeons receive extensive technical training, which equips them with the knowledge and skills to specialise in various fields and manage the massive amounts of information and decision-making required throughout the various stages of neurosurgery, including preoperative, intraoperative, and postoperative care and recovery. Over the past few years, artificial intelligence (AI) has become more useful in neurosurgery. AI has the potential to improve patient outcomes by augmenting the capabilities of neurosurgeons and ultimately improving diagnostic and prognostic outcomes as well as decision-making during surgical procedures. By incorporating AI into both interventional and non-interventional therapies, neurosurgeons may provide the best care for their patients. AI, machine learning (ML), and deep learning (DL) have made significant progress in the field of neurosurgery. These cutting-edge methods have enhanced patient outcomes, reduced complications, and improved surgical planning.

Advancements in surgical education: exploring animal and simulation models in fetal and neonatal surgery training

Introduction

Surgical education is undergoing a transformation, moving away from traditional models towards more modern approaches that integrate experiential and didactic methods. This shift is particularly pertinent in the realm of fetal and neonatal surgery, where specialized training is crucial. Historical training methods, such as cadaveric dissection, have been prevalent for centuries, but newer innovations, including animal and non-animal simulation models, are gaining prominence. This manuscript aims to explore the use of both animal and non-animal models in surgical education, with a specific focus on fetal and neonatal surgery.

Animal models

The use of animal models in surgical training has a long history, dating back to Halsted's introduction in 1889. These models, often utilizing large animals like swine and dogs, offer valuable insights into fetal and neonatal surgeries. They allow for the study of long-term outcomes and the simulation of various diseases and anomalies, providing essential training experiences not readily available in human surgeries. However, there are notable limitations, including anatomical and physiological differences from humans, ethical considerations, and substantial infrastructure and maintenance costs.

Simulation models

Simulation-based training offers several benefits, including standardized and safe learning environments without risks to real patients. Bench models, using synthetic materials or non-living animal tissue, provide cost-effective options for skills development. Virtual reality and 3-D printing technologies further enhance simulation experiences, allowing for the replication of complex clinical scenarios and patient-specific anatomies. While these models offer significant advantages, they lack the complexity of biological systems found in animal models.

Conclusion

In conclusion, both animal and non-animal simulation models play crucial roles in enhancing surgical education, particularly in fetal and neonatal surgery. While advancements in non-animal technologies are important for ethical reasons, the continued necessity of animal models in certain areas should be acknowledged. By responsibly integrating these models into training programs, surgical education can be further enriched while upholding ethical standards and ensuring optimal patient outcomes.

Robot Assisted Laparoscopic Surgery in Gynaecology: An Evolving Assistive Technology

Laparoscopic surgery is extensively utilized to treat a range of gynaecological conditions and pathologies. The advantages of laparoscopic surgery include the minimalization of blood loss and scarring, improved recovery times, and shorter hospital admissions. However, robotic technologies have had an increasing presence within gynaecological laparoscopic surgery in recent decades. This literature review therefore aims to discuss laparoscopy from 3 perspectives. First, the evolution of laparoscopy is reviewed with a focus on its origins, its transition from a diagnostic to an operative tool, and its role in present-day gynaecology. Second, interventions for benign gynaecological conditions (including excision of benign ovarian tumours, total laparoscopic hysterectomy, and laparoscopic myomectomy) are reviewed. The laparoscopic management of malignant gynaecology (including ovarian cancer, endometrial cancer, and cervical cancer) is also discussed. Finally, whilst robot-assisted laparoscopic surgery is experiencing rapid technological advancement, it is pertinent to consider the extent of its benefits when compared to open or conventional laparoscopic approaches in gynaecological surgery.

European Robotic Surgery Consensus (ERSC): Protocol for the development of a consensus in robotic training for gastrointestinal surgery trainees

BACKGROUND

The rapid adoption of robotic surgical systems across Europe has led to a critical gap in training and credentialing for gastrointestinal (GI) surgeons. Currently, there is no existing standardised curriculum to guide robotic training, assessment and certification for GI trainees. This manuscript describes the protocol to achieve a pan-European consensus on the essential components of a comprehensive training programme for GI robotic surgery through a five-stage process.

METHODS AND ANALYSIS

In Stage 1, a Steering Committee, consisting of international experts, trainees and educationalists, has been established to lead and coordinate the consensus development process. In Stage 2, a systematic review of existing multi-specialty robotic training curricula will be performed to inform the formulation of key position statements. In Stage 3, a comprehensive survey will be disseminated across Europe to capture the current state of robotic training and identify potential challenges and opportunities for improvement. In Stage 4, an international panel of GI surgeons, trainees, and robotic theatre staff will participate in a three-round Delphi process, seeking ≥ 70% agreement on crucial aspects of the training curriculum. Industry and patient representatives will be involved as external advisors throughout this process. In Stage 5, the robotic training curriculum for GI trainees will be finalised in a dedicated consensus meeting, culminating in the production of an Explanation and Elaboration (E&E) document.

REGISTRATION DETAILS

The study protocol has been registered on the Open Science Framework (https://osf.io/br87d/).

The importance of non-technical skills in robot-assisted surgery in gynaecology

Robot-assisted surgery (RAS) in gynaecology has undergone exponential growth in recent decades, with utility in treating both benign and malignant gynaecological conditions. The technological complexities and amended theatre dynamics that RAS demands mean that effective non-technical skills (NTS) are vitally important to overcome these unique challenges. However, NTS have been neglected in RAS-training programmes with focus placed instead on the exclusive acquisition of technical skills (TS). NTS include teamwork, communication, leadership, situational awareness, decision-making and stress management. Communication is the most frequently cited NTS impacted during RAS, as the physical limitations imposed by the robotic hardware make communication exchange difficult. The full immersion that RAS enables can contribute to situational awareness deficits. However, RAS can complement communication and teamwork when multidisciplinary (MDT) surgeries (such as complex endometriosis excisions) are undertaken; dual-console capabilities facilitate the involvement of specialties such as general surgery and urology. The development of NTS in RAS cannot be achieved with in-situ experience alone, and current training is poorly standardised. RAS-training programmes and curricula for gynaecology do exist, however the integration of NTS remain limited. Simulation is a viable tool to facilitate enhanced-NTS integration, yet cost implications form a barrier to its wider implementation. However, given that RAS will continue to occupy a greater proportion of the gynaecological caseload, integration of NTS within gynaecological RAS training curricula is necessary. Patients undergoing gynaecological RAS would benefit from the improved safety standards and enhanced surgical outcomes that would result.

Knowledge Transfer and Networking Upon Implementation of a Transdisciplinary Digital Health Curriculum in a Unique Digital Health Training Culture: Prospective Analysis

Background

Digital health has been taught at medical faculties for a few years. However, in general, the teaching of digital competencies in medical education and training is still underrepresented.

Objective

This study aims to analyze the objective acquisition of digital competencies through the implementation of a transdisciplinary digital health curriculum as a compulsory elective subject at a German university. The main subject areas of digital leadership and management, digital learning and didactics, digital communication, robotics, and generative artificial intelligence were developed and taught in a transdisciplinary manner over a period of 1 semester.

Methods

The participants evaluated the relevant content of the curriculum regarding the competencies already taught in advance during the study, using a Likert scale. The participants' increase in digital competencies were examined with a pre-post test consisting of 12 questions. Statistical analysis was performed using an unpaired 2-tailed Student t test. A P value of <.05 was considered statistically significant. Furthermore, an analysis of the acceptance of the transdisciplinary approach as well as the application of an alternative examination method (term paper instead of a test with closed and open questions) was carried out.

Results

In the first year after the introduction of the compulsory elective subject, students of human medicine (n=15), dentistry (n=3), and medical biotechnology (n=2) participated in the curriculum. In total, 13 participants were women (7 men), and 61.1% (n=11) of the participants in human medicine and dentistry were in the preclinical study stage (clinical: n=7, 38.9%). All the aforementioned learning objectives were largely absent in all study sections (preclinical: mean 4.2; clinical: mean 4.4; P=.02). The pre-post test comparison revealed a significant increase of 106% in knowledge (P<.001) among the participants.

Conclusions

The transdisciplinary teaching of a digital health curriculum, including digital teaching methods, considers perspectives and skills from different disciplines. Our new curriculum facilitates an objective increase in knowledge regarding the complex challenges of the digital transformation of our health care system. Of the 16 student term papers arising from the course, robotics and artificial intelligence attracted the most interest, accounting for 9 of the submissions.

Educational challenges and opportunities for the future generation of surgeons: a scoping review

PURPOSE

Surgery offers exciting opportunities but comes with demanding challenges that require attention from both surgical program administrators and aspiring surgeons. The hashtag #NoTrainingTodayNoSurgeonsTomorrow on 𝕏 (previously Twitter) underscores the importance of ongoing training. Our scoping review identifies educational challenges and opportunities for the next generation of surgeons, analyzing existing studies and filling gaps in the literature.

METHODS

Following the PRISMA guidelines, MEDLINE/PubMed was searched in February 2022, using the MeSH terms "surgeons/education," for articles in English or German on general, abdominal, thoracic, vascular, and hand surgery and traumatology targeting medical students, surgical residents, future surgeons, and fellows.

RESULTS

The initial search yielded 1448 results. After a step-by-step evaluation process, 32 publications remained for complete review. Three main topics emerged: surgical innovations and training (n = 7), surgical culture and environment (n = 19), and mentoring (n = 6). The articles focusing on surgical innovations and training mainly described the incorporation of structured surgical training methods and program initiatives. Articles on surgical culture examined residents' burnout, well-being, and gender issues. Challenges faced by women, including implicit bias and sexual harassment, were highlighted. Regarding mentoring, mentees' needs, training challenges, and the qualities expected of both mentors and mentees were addressed.

CONCLUSION

At a time of COVID-19-driven surgical innovations, the educational and working environment of the new generation of surgeons is changing. Robotic technology and other innovations require future surgeons to acquire additional technological and digital expertise. With regard to the cultural aspects of training, surgery needs to adapt curricula to meet the demands of the new generation of surgeons, but even more it has to transform its culture.

Human Factors Integration in Robotic Surgery

OBJECTIVE

Using the example of robotic-assisted surgery (RAS), we explore the methodological and practical challenges of technology integration in surgery, provide examples of evidence-based improvements, and discuss the importance of systems engineering and clinical human factors research and practice.

BACKGROUND

New operating room technologies offer potential benefits for patients and staff, yet also present challenges for physical, procedural, team, and organizational integration. Historically, RAS implementation has focused on establishing the technical skills of the surgeon on the console, and has not systematically addressed the new skills required for other team members, the use of the workspace, or the organizational changes.

RESULTS

Human factors studies of robotic surgery have demonstrated not just the effects of these hidden complexities on people, teams, processes, and proximal outcomes, but also have been able to analyze and explain in detail why they happen and offer methods to address them. We review studies on workload, communication, workflow, workspace, and coordination in robotic surgery, and then discuss the potential for improvement that these studies suggest within the wider healthcare system.

CONCLUSION

There is a growing need to understand and develop approaches to safety and quality improvement through human-systems integration at the frontline of care.Precis: The introduction of robotic surgery has exposed under-acknowledged complexities of introducing complex technology into operating rooms. We explore the methodological and practical challenges, provide examples of evidence-based improvements, and discuss the implications for systems engineering and clinical human factors research and practice.

Exploring the Evolution of Robotic Surgery in Obstetrics and Gynecology: Past, Present, and Future Perspectives

Robotic surgery has emerged as a transformative technology in obstetrics and gynecology, offering enhanced precision and minimally invasive techniques for various procedures. This paper explores the evolution of robotic surgery in obstetrics and gynecology, examining its historical development, current applications, and prospects. Through a comprehensive review of the literature and case studies, we highlight the benefits of robotic surgery, including reduced trauma, improved patient outcomes, and increased surgeon capabilities. However, cost, training requirements, and regulatory concerns hinder widespread adoption. Continuing technological innovation is expected to enhance the efficacy and applicability of robotic-assisted procedures. Collaboration between healthcare professionals, researchers, and industry stakeholders is essential to address these challenges and ensure optimal patient care. By embracing the opportunities presented by robotic surgery while addressing associated challenges, practitioners and researchers can contribute to the continued advancement of this transformative technology in obstetrics and gynecology.

Development and preliminary validation of a new task-based objective procedure-specific assessment of inguinal hernia repair procedural safety

BACKGROUND

Surgical videos coupled with structured assessments enable surgical training programs to provide independent competency evaluations and align with the American Board of Surgery's entrustable professional activities initiative. Existing assessment instruments for minimally invasive inguinal hernia repair (IHR) have limitations with regards to reliability, validity, and usability. A cross-sectional study of six surgeons using a novel objective, procedure-specific, 8-item competency assessment for minimally invasive inguinal hernia repair (IHR-OPSA) was performed to assess inter-rater reliability using a "safe" vs. "unsafe" scoring rubric.

METHODS

The IHR-OPSA was developed by three expert IHR surgeons, field tested with five IHR surgeons, and revised based upon feedback. The final instrument included: (1) incision/port placement; (2) dissection of peritoneal flap (TAPP) or dissection of peritoneal flap (TEP); (3) exposure; (4) reducing the sac; (5) full dissection of the myopectineal orifice; (6) mesh insertion; (7) mesh fixation; and (8) operation flow. The IHR-OPSA was applied by six expert IHR surgeons to 20 IHR surgical videos selected to include a spectrum of hernia procedures (15 laparoscopic, 5 robotic), anatomy (14 indirect, 5 direct, 1 femoral), and Global Case Difficulty (easy, average, hard). Inter-rater reliability was assessed against Gwet's AC2.

RESULTS

The IHR-OPSA inter-rater reliability was good to excellent, ranging from 0.65 to 0.97 across the eight items. Assessments of robotic procedures had higher reliability with near perfect agreement for 7 of 8 items. In general, assessments of easier cases had higher levels of agreement than harder cases.

CONCLUSIONS

A novel 8-item minimally invasive IHR assessment tool was developed and tested for inter-rater reliability using a "safe" vs. "unsafe" rating system with promising results. To promote instrument validity the IHR-OPSA was designed and evaluated within the context of intended use with iterative engagement with experts and testing of constructs against real-world operative videos.

Surgical gestures can be used to assess surgical competence in robot-assisted surgery : A validity investigating study of simulated RARP

To collect validity evidence for the assessment of surgical competence through the classification of general surgical gestures for a simulated robot-assisted radical prostatectomy (RARP). We used 165 video recordings of novice and experienced RARP surgeons performing three parts of the RARP procedure on the RobotiX Mentor. We annotated the surgical tasks with different surgical gestures: dissection, hemostatic control, application of clips, needle handling, and suturing. The gestures were analyzed using idle time (periods with minimal instrument movements) and active time (whenever a surgical gesture was annotated). The distribution of surgical gestures was described using a one-dimensional heat map, snail tracks. All surgeons had a similar percentage of idle time but novices had longer phases of idle time (mean time: 21 vs. 15 s, p < 0.001). Novices used a higher total number of surgical gestures (number of phases: 45 vs. 35, p < 0.001) and each phase was longer compared with those of the experienced surgeons (mean time: 10 vs. 8 s, p < 0.001). There was a different pattern of gestures between novices and experienced surgeons as seen by a different distribution of the phases. General surgical gestures can be used to assess surgical competence in simulated RARP and can be displayed as a visual tool to show how performance is improving. The established pass/fail level may be used to ensure the competence of the residents before proceeding with supervised real-life surgery. The next step is to investigate if the developed tool can optimize automated feedback during simulator training.

The Value of the Endoscope-Holding Arm in Transoral Pharyngeal Surgery

BACKGROUND

Transoral pharyngeal surgery is mainly feasible with the use of a microscope or robotic systems. Data about alternative methods, with lower costs and easier availability, are sparse. We intended to examine to what extent the endoscope-holding arm is a suitable alternative to the microscope or robotic systems.

MATERIAL AND METHODS

We retrospectively reviewed subjects who underwent pharyngeal tumor resection with the endoscope-holding arm in our university department.

RESULTS

We identified 13 subjects who underwent transoral pharyngeal surgery between November 2020 and November 2023. Most subjects presented with an oropharyngeal tumor (6/11 in the lateral wall or tonsil; 4/11 in the tongue base). The oropharyngeal lateral wall or tonsillar tumors were exposed with a standard mouth gag. The tongue-base tumors or hypopharyngeal tumors were exposed with an operating laryngoscope. Advantages over the microscope included an angled view. Advantages over robotic systems included haptic feedback and a faster setup. Advantages over both the microscope and robotic systems included lower costs and easier availability. Visualization with the endoscope was sufficient and similar to that of the microscope. Bimanual action was possible with surgical forceps and a monopolar electrode.

CONCLUSIONS

Transoral pharyngeal surgery was feasible with the endoscope-holding arm. The endoscope-holding arm could be a cost-efficient alternative to the microscope or robotic systems.

The application of objective clinical human reliability analysis (OCHRA) in the assessment of basic robotic surgical skills

BACKGROUND

Using a validated, objective, and standardised assessment tool to assess progression and competency is essential for basic robotic surgical training programmes. Objective clinical human reliability analysis (OCHRA) is an error-based assessment tool that provides in-depth analysis of individual technical errors. We conducted a feasibility study to assess the concurrent validity and reliability of OCHRA when applied to basic, generic robotic technical skills assessment.

METHODS

Selected basic robotic surgical skill tasks, in virtual reality (VR) and dry lab equivalent, were performed by novice robotic surgeons during an intensive 5-day robotic surgical skills course on da Vinci® X and Xi surgical systems. For each task, we described a hierarchical task analysis. Our developed robotic surgical-specific OCHRA methodology was applied to error events in recorded videos with a standardised definition. Statistical analysis to assess concurrent validity with existing tools and inter-rater reliability were performed.

RESULTS

OCHRA methodology was applied to 272 basic robotic surgical skills tasks performed by 20 novice robotic surgeons. Performance scores improved from the start of the course to the end using all three assessment tools; Global Evaluative Assessment of Robotic Skills (GEARS) [VR: t(19) = - 9.33, p < 0.001] [dry lab: t(19) = - 10.17, p < 0.001], OCHRA [VR: t(19) = 6.33, p < 0.001] [dry lab: t(19) = 10.69, p < 0.001] and automated VR [VR: t(19) = - 8.26, p < 0.001]. Correlation analysis, for OCHRA compared to GEARS and automated VR scores, shows a significant and strong inverse correlation in every VR and dry lab task; OCHRA vs GEARS [VR: mean r = - 0.78, p < 0.001] [dry lab: mean r = - 0.82, p < 0.001] and OCHRA vs automated VR [VR: mean r = - 0.77, p < 0.001]. There is very strong and significant inter-rater reliability between two independent reviewers (r = 0.926, p < 0.001).

CONCLUSION

OCHRA methodology provides a detailed error analysis tool in basic robotic surgical skills with high reliability and concurrent validity with existing tools. OCHRA requires further evaluation in more advanced robotic surgical procedures.

Revolutionising Breast Surgery: A Comprehensive Review of Robotic Innovations in Breast Surgery and Reconstruction

Robotic innovations in breast surgery have ushered in a new era of precision, safety, and patient-centred care. This comprehensive review explores the multifaceted realm of robotic breast surgery, from preoperative planning to postoperative outcomes, learning curves for surgeons, and the implications for healthcare policies. We examine the ethical considerations, cost-effectiveness, and future directions, including integrating artificial intelligence and telesurgery. Key findings reveal that robotic systems provide improved surgical precision, reduced complications, and enhanced patient satisfaction. Ethical concerns encompass informed consent, resource allocation, and equitable access. The future of breast surgery lies in continued research and development, ensuring that robotics becomes a standard of care accessible to all patients. This technology is reshaping breast surgery and offering new possibilities for minimally invasive, patient-centred care, ultimately redefining the standards of care in this critical field of medicine.

The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring

The next generation of surgical robotics is poised to disrupt healthcare systems worldwide, requiring new frameworks for evaluation. However, evaluation during a surgical robot's development is challenging due to their complex evolving nature, potential for wider system disruption and integration with complementary technologies like artificial intelligence. Comparative clinical studies require attention to intervention context, learning curves and standardized outcomes. Long-term monitoring needs to transition toward collaborative, transparent and inclusive consortiums for real-world data collection. Here, the Idea, Development, Exploration, Assessment and Long-term monitoring (IDEAL) Robotics Colloquium proposes recommendations for evaluation during development, comparative study and clinical monitoring of surgical robots-providing practical recommendations for developers, clinicians, patients and healthcare systems. Multiple perspectives are considered, including economics, surgical training, human factors, ethics, patient perspectives and sustainability. Further work is needed on standardized metrics, health economic assessment models and global applicability of recommendations.

Advancements in Robotic Surgery: A Comprehensive Overview of Current Utilizations and Upcoming Frontiers

Robotic surgery, a groundbreaking advancement in medical technology, has redefined the landscape of surgical procedures. This comprehensive overview explores the multifaceted world of robotic surgery, encompassing its definition, historical development, current applications, clinical outcomes, benefits, emerging frontiers, challenges, and future implications. We delve into the fundamentals of robotic surgical systems, examining their components and advantages. From general and gynecological surgery to urology, cardiac surgery, orthopedics, and beyond, we highlight the diverse specialties where robotic surgery is making a significant impact. The many benefits discussed include improved patient outcomes, reduced complications, faster recovery times, cost-effectiveness, and enhanced surgeon experiences. The outlook reveals a healthcare landscape where robotic surgery is increasingly vital, enabling personalized medicine, bridging healthcare disparities, and advancing surgical precision. However, challenges such as cost, surgeon training, technical issues, ethical considerations, and patient acceptance remain relevant. In conclusion, robotic surgery is poised to continue shaping the future of health care, offering transformative possibilities while emphasizing the importance of collaboration, innovation, and ethical governance.

Automatic patient positioning based on robot rotational workspace for extended reality

PURPOSE

Understanding the properties and aspects of the robotic system is essential to a successful medical intervention, as different capabilities and limits characterize each. Robot positioning is a crucial step in the surgical setup that ensures proper reachability to the desired port locations and facilitates docking procedures. This very demanding task requires much experience to master, especially with multiple trocars, increasing the barrier of entry for surgeons in training.

METHODS

Previously, we demonstrated an Augmented Reality-based system to visualize the rotational workspace of the robotic system and proved it helps the surgical staff to optimize patient positioning for single-port interventions. In this work, we implemented a new algorithm to allow for an automatic, real-time robotic arm positioning for multiple ports.

RESULTS

Our system, based on the rotational workspace data of the robotic arm and the set of trocar locations, can calculate the optimal position of the robotic arm in milliseconds for the positional and in seconds for the rotational workspace in virtual and augmented reality setups.

CONCLUSIONS

Following the previous work, we extended our system to support multiple ports to cover a broader range of surgical procedures and introduced the automatic positioning component. Our solution can decrease the surgical setup time and eliminate the need to repositioning the robot mid-procedure and is suitable both for the preoperative planning step using VR and in the operating room-running on an AR headset.

Baseline performance in a robotic virtual reality platform predicts rate of skill acquisition in a proficiency-based curriculum: a cohort study of surgical trainees

BACKGROUND

Residency programs must prepare to train the next generation of surgeons on the robotic platform. The purpose of this study was to determine if baseline skills of residents on a virtual reality (VR) robotic simulator before intern year predicted future performance in a proficiency-based curriculum.

METHODS

Across two academic years, 21 general surgery PGY-1s underwent the robotic surgery boot camp at the University of Texas Southwestern. During boot camp, subjects completed five previously validated VR tasks, and their performance metrics (score, time, and economy of motion [EOM]) were extracted retrospectively from their Intuitive learning accounts. The same metrics were assessed during their residency until they reached previously validated proficiency benchmarks. Outcomes were defined as the score at proficiency, attempts to reach proficiency, and time to proficiency. Spearman's rho and Mann-Whitney U tests were used; median (IQR) was reported. Significance level was set at p < 0.05.

RESULTS

Twenty-one residents completed at least three out of the five boot camp tasks and achieved proficiency in the former during residency. The median average score at boot camp was 12.3 (IQR: 5.14-18.5). The median average EOM at boot camp was 599.58 cm (IQR: 529.64-676.60). The average score at boot camp significantly correlated with lower time to achieve proficiency (p < 0.05). EOM at boot camp showed a significant correlation with attempts to proficiency and time to proficiency (p < 0.01). Residents with an average baseline EOM below the median showed a significant difference in attempts to proficiency (p < 0.05) and time to proficiency (p < 0.05) compared to those with EOMs above or equal to the median.

CONCLUSION

Residents with an innate ability to perform tasks with better EOM may acquire robotic surgery skills faster. Future investigators could explore how these innate differences impact performance throughout residency.

Experience matters for robotic assistance: an analysis of case data

Many robotic procedures require active participation by assistants. Most prior work on assistants' effect on outcomes has been limited in procedural focus and scope, with studies reporting differing results. Knowing how assistant experience affects operating room time could inform operating room case scheduling and provide an impetus for additional assistant training. As such, this retrospective cohort study aimed to determine the association between assistant experience and operating room time for 2291 robotic-assisted operations performed from 2016 to 2022 at our institution. Linear regression showed a significant association between the presence of a junior resident and increased case length differential with an increase of 26.9 min (p = 0.01). There were no significant associations between the presence of a senior resident (p = 0.52), presence of a fellow (p = 0.20), or presence of a physician assistant (p = 0.43) and case length differential. The finding of increased operating room time in the presence of a junior resident during robotic cases supports consideration of the adoption of formal assistant training programs for residents to improve efficiency.

A systematic review of general surgery robotic training curriculums

Background

As of the most recent surveys of resident programs in 2018, only slightly more than half of programs have formal robotic training curriculums implemented. Fewer programs have further assessed their own curriculum and its benefit.

Method

We conducted a PubMed/MEDLINE literature search for robotic surgery curriculums and those that had assessment of their programs.

Results

A total of 11 studies were reviewed. When reviewed in chronological order, there has been a progression towards more robotic specific objective data analysis as opposed to subjective surveying. There is a wide variation in curriculums, but simulation use is pervasive.

Conclusions

Our review makes evident two important concepts-there is great variety in training curriculums and there is great benefit in implementation. The importance is in establishment of what makes resident training effective and supports the adaptable and successful surgeon. This may come from an adaptable curriculum but a structured test-out assessment.

Discrimination, Reliability, Sensitivity, and Specificity of Robotic Surgical Proficiency Assessment With Global Evaluative Assessment of Robotic Skills and Binary Scoring Metrics: Results From a Randomized Controlled Trial

Objective

To compare binary metrics and Global Evaluative Assessment of Robotic Skills (GEARS) evaluations of training outcome assessments for reliability, sensitivity, and specificity.

Background

GEARS-Likert-scale skills assessment are a widely accepted tool for robotic surgical training outcome evaluations. Proficiency-based progression (PBP) training is another methodology but uses binary performance metrics for evaluations.

Methods

In a prospective, randomized, and blinded study, we compared conventional with PBP training for a robotic suturing, knot-tying anastomosis task. Thirty-six surgical residents from 16 Belgium residency programs were randomized. In the skills laboratory, the PBP group trained until they demonstrated a quantitatively defined proficiency benchmark. The conventional group were yoked to the same training time but without the proficiency requirement. The final trial was video recorded and assessed with binary metrics and GEARS by robotic surgeons blinded to individual, group, and residency program. Sensitivity and specificity of the two assessment methods were evaluated with area under the curve (AUC) and receiver operating characteristics (ROC) curves.

Results

The PBP group made 42% fewer objectively assessed performance errors than the conventional group (P < 0.001) and scored 15% better on the GEARS assessment (P = 0.033). The mean interrater reliability for binary metrics and GEARS was 0.87 and 0.38, respectively. Binary total error metrics AUC was 97% and for GEARS 85%. With a sensitivity threshold of 0.8, false positives rates were 3% and 25% for, respectively, the binary and GEARS assessments.

Conclusions

Binary metrics for scoring a robotic VUA task demonstrated better psychometric properties than the GEARS assessment.

Transfer of open and laparoscopic skills to robotic surgery: a systematic review

Due to its advantages over open surgery and conventional laparoscopy, uptake of robot-assisted surgery has rapidly increased. It is important to know whether the existing open or laparoscopic skills of robotic novices shorten the robotic surgery learning curve, potentially reducing the amount of training required. This systematic review aims to assess psychomotor skill transfer to the robot in clinical and simulated settings. PubMed, EMBASE, Cochrane Library and Scopus databases were systematically searched in accordance with PRISMA guidelines from inception to August 2021 alongside website searching and citation chaining. Article screening, data extraction and quality assessment were undertaken by two independent reviewers. Outcomes included simulator performance metrics or in the case of clinical studies, peri- and post-operative metrics. Twenty-nine studies met the eligibility criteria. All studies were judged to be at high or moderate overall risk of bias. Results were narratively synthesised due to heterogeneity in study designs and outcome measures. Two of the three studies assessing open surgical skill transfer found evidence of successful skill transfer while nine of twenty-seven studies evaluating laparoscopic skill transfer found no evidence. Skill transfer from both modalities is most apparent when advanced robotic tasks are performed in the initial phase of the learning curve but quality and methodological limitations of the existing literature prevent definitive conclusions. The impact of incorporating laparoscopic simulation into robotic training curricula and on the cost effectiveness of training should be investigated.

Robotic Surgery: A Comprehensive Review of the Literature and Current Trends

Robotic surgery (RS) is an evolution of minimally invasive surgery that combines medical science, robotics, and engineering. The first robots approved by the Food and Drug Administration (FDA) were the Da Vinci Surgical System and the ZEUS Robotic Surgical System, which have been improving over time. Through the decades, the equipment applied to RS had undergone a wide transformation as a response to the development of new techniques and facilities for the assembly and implementation of the own. RS has revolutionized the field of urology, enabling surgeons to perform complex procedures with greater precision and accuracy, and many other surgical specialties such as gynecology, general surgery, otolaryngology, cardiothoracic surgery, and neurosurgery. Several benefits, such as a better approach to the surgical site, a three-dimensional image that improves depth perception, and smaller scars, enhance range of motion, allowing the surgeon to conduct more complicated surgical operations, and reduced postoperative complications have made robotic-assisted surgery an increasingly popular approach. However, some points like the cost of surgical procedures, equipment-instrument, and maintenance are important aspects to consider. Machine learning will likely have a role to play in surgical training shortly through "automated performance metrics," where algorithms observe and "learn" individual surgeons' techniques, assess performance, and anticipate surgical outcomes with the potential to individualize surgical training and aid decision-making in real time.

sEMG-based Motion Recognition for Robotic Surgery Training - A Preliminary Study

Robotic surgery represents a major breakthrough in the evolution of medical technology. Accordingly, efficient skill training and assessment methods should be developed to meet the surgeon's need of acquiring such robotic skills over a relatively short learning curve in a safe manner. Different from conventional training and assessment methods, we aim to explore the surface electromyography (sEMG) signal during the training process in order to obtain semantic and interpretable information to help the trainee better understand and improve his/her training performance. As a preliminary study, motion primitive recognition based on sEMG signal is studied in this work. Using machine learning (ML) technique, it is shown that the sEMG-based motion recognition method is feasible and promising for hand motions along 3 Cartesian axes in the virtual reality (VR) environment of a commercial robotic surgery training platform, which will hence serve as the basis for new robotic surgical skill assessment criterion and training guidance based on muscle activity information. Considering certain motion patterns were less accurately recognized than others, more data collection and deep learning-based analysis will be carried out to further improve the recognition accuracy in future research.

Crossover-effects in technical skills between laparoscopy and robot-assisted surgery

INTRODUCTION

Robot-assisted surgery is often performed by experienced laparoscopic surgeons. However, this technique requires a different set of technical skills and surgeons are expected to alternate between these approaches. The aim of this study is to investigate the crossover effects when switching between laparoscopic and robot-assisted surgery.

METHODS

An international multicentre crossover study was conducted. Trainees with distinctly different levels of experience were divided into three groups (novice, intermediate, expert). Each trainee performed six trials of a standardized suturing task using a laparoscopic box trainer and six trials using the da Vinci surgical robot. Both systems were equipped with the ForceSense system, measuring five force-based parameters for objective assessment of tissue handling skills. Statistical comparison was done between the sixth and seventh trial to identify transition effects. Unexpected changes in parameter outcomes after the seventh trial were further investigated.

RESULTS

A total of 720 trials, performed by 60 participants, were analysed. The expert group increased their tissue handling forces with 46% (maximum impulse 11.5 N/s to 16.8 N/s, p = 0.05), when switching from robot-assisted surgery to laparoscopy. When switching from laparoscopy to robot-assisted surgery, intermediates and experts significantly decreased in motion efficiency (time (sec), resp. 68 vs. 100, p = 0.05, and 44 vs. 84, p = 0.05). Further investigation between the seventh and ninth trial showed that the intermediate group increased their force exertion with 78% (5.1 N vs. 9.1 N, p = 0.04), when switching to robot-assisted surgery.

CONCLUSION

The crossover effects in technical skills between laparoscopic and robot-assisted surgery are highly depended on the prior experience with laparoscopic surgery. Where experts can alternate between approaches without impairment of technical skills, novices and intermediates should be aware of decay in efficiency of movement and tissue handling skills that could impact patient safety. Therefore, additional simulation training is advised to prevent from undesired events.

Structured training curricula for robotic colorectal surgery in China: does laparoscopic experience affect training effects?

Background

Robotic surgery has been widely adopted for colorectal cancer (CRC). Many surgeons in China have completed structured training programs and have performed robotic colorectal surgeries. This multicenter study aimed to evaluate the training effects of structured training curricula in China for surgeons with different laparoscopic experiences during their initial implementation of robotic colorectal surgery.

Methods

Ten surgeons from five high-volume centers participated in this retrospective study. The baseline characteristics, perioperative data, and pathological outcomes were compared between the first 15 robotic surgeries performed by five surgeons with extensive laparoscopic experience (group A) and the first 15 robotic surgeries performed by five surgeons with limited laparoscopic experience (group B) at each center.

Results

Compared with group B, group A showed shorter operation time (200.9 vs. 254.2 min, P<0.001), less blood loss (100.0 vs. 150.0 mL, P=0.025), and a lower incidence of intraoperative complications (2.7% vs. 21.4%, P=0.015). The reoperation rate (1.3% vs. 5.3%, P=0.036) and postoperative complication rate (6.7% vs. 22.7%, P=0.025) were significantly lower in group A than in group B. There were no statistically significant differences in baseline characteristics (e.g., age, sex, and tumor location) and pathological information (e.g., tumor stage, lymph node count, and tumor size) between the two groups. Radical resection (R0) was performed in all cases.

Conclusions

In China, structured training curricula can help surgeons with extensive laparoscopic experience make a smooth transition from laparoscopic to robotic surgery. However, the higher intraoperative and postoperative complication rates indicate that structured training curricula still require further refinement for surgeons with limited laparoscopic experience.

Suggested robotic-assisted thoracic surgery training curriculum

Robotic-assisted surgery, a technological advancement in the field of surgery, has become increasingly popular among surgeons of many specialties over time. Robotic-assisted thoracic surgery (RATS) is comparable to video-assisted thoracic surgery (VATS) in terms of patient care outcomes; however, the perception of increased operative time and a lack of cost-effectiveness have led to controversy regarding its alleged benefits. Nevertheless, robotic surgery is one of the preferred options for minimally invasive surgery by some thoracic surgeon over VATS, due to its ability to provide 3-D vision, precise wrist movements, enhanced magnification, and instrument stability and articulation. Notably, trainees in the field of thoracic surgery experience difficulty gaining knowledge and learning skills associated with RATS due to its complexity, limited access to robotic instruments, the lack of a standardized curriculum for trainees, and lack of mentorship or proctorship, thus leading to a steeper learning curve compared to laparoscopic or VATS procedures that are cost-friendly, easy to learn, and feasible to practice. Nevertheless, focusing on RATS training for thoracic surgeons will keep them familiar with robotic techniques, including the pre-operative setup and intra-operative process, which will ultimately decrease operative times. In this paper, we will review the literature, express and discuss the most viable training curriculum from authors' point of view to help achieve this goal.

Force-based assessment of tissue handling skills in simulation training for robot-assisted surgery

INTRODUCTION

Although robotic-assisted surgery is increasingly performed, objective assessment of technical skills is lacking. The aim of this study is to provide validity evidence for objective assessment of technical skills for robotic-assisted surgery.

METHODS

An international multicenter study was conducted with participants from the academic hospitals Heidelberg University Hospital (Germany, Heidelberg) and the Amsterdam University Medical Centers (The Netherlands, Amsterdam). Trainees with distinctly different levels of robotic surgery experience were divided into three groups (novice, intermediate, expert) and enrolled in a training curriculum. Each trainee performed six trials of a standardized suturing task using the da Vinci Surgical System. Using the ForceSense system, five force-based parameters were analyzed, for objective assessment of tissue handling skills. Mann-Whitney U test and linear regression were used to analyze performance differences and the Wilcoxon signed-rank test to analyze skills progression.

RESULTS

A total of 360 trials, performed by 60 participants, were analyzed. Significant differences between the novices, intermediates and experts were observed regarding the total completion time (41 s vs 29 s vs 22 s p = 0.003), mean non zero force (29 N vs 33 N vs 19 N p = 0.032), maximum impulse (40 Ns vs 31 Ns vs 20 Ns p = 0.001) and force volume (38 N³ vs 32 N³ vs 22 N³ p = 0.018). Furthermore, the experts showed better results in mean non-zero force (22 N vs 13 N p = 0.015), maximum impulse (24 Ns vs 17 Ns p = 0.043) and force volume (25 N³ vs 16 N³ p = 0.025) compared to the intermediates (p ≤ 0.05). Lastly, learning curve improvement was observed for the total task completion time, mean non-zero force, maximum impulse and force volume (p ≤ 0.05).

CONCLUSION

Construct validity for force-based assessment of tissue handling skills in robot-assisted surgery is established. It is advised to incorporate objective assessment and feedback in robot-assisted surgery training programs to determine technical proficiency and, potentially, to prevent tissue trauma.

Robotic segmentectomy for early-stage lung cancer

Lobectomies have long been the gold standard for surgical treatment of early-stage non-small cell lung cancer (NSCLC), with segmentectomies limited to instances of benign disease or as an alternative in patients where lung preservation is indicated. However, a recently published randomized control trial has demonstrated the superiority of segmentectomy over lobectomy in terms of overall survival for early-stage lung cancer. Segmentectomy could thus be considered a standard procedure for small-sized peripheral NSCLC. While segmentectomy via video-assisted thoracic surgery (VATS) is the most widespread approach, development in video instrumentation and thoracic robotic surgery is rapidly gaining interest. Indeed, robotic surgery pioneers boast the advantages in three-dimensional view, improved magnification, ergonomics, dexterity, safety, and ease of surgery with this technology. This review aims to outline robotic-assisted segmentectomy indications, preoperative evaluation, and the operative conduct for the different lung segments from a single surgeon console. There are many ways to perform segmentectomies and therefore this review describes generalized approaches that can be tailored based on experience.

Robotic training for medical students: feasibility of a pilot simulation curriculum

While robotic procedures are growing rapidly, medical students have a limited role in robotic surgeries. Curricula are needed to enhance engagement. We examined feasibility of augmenting Intuitive Surgical (IS) robotic training for medical students. As a pilot, 18 senior students accepted an invitation to a simulation course with a daVinci robot trainer. Course teaching objectives included introducing robotic features, functionalities, and roles. A 1-h online module from the IS learning platform and a 4-h in-person session comprised the course. The in-person session included an overview of the robot by an IS trainer (1.5 h), skills practice at console (1.5 h), and a simulation exercise focused on the bedside assist role (1 h). Feasibility included assessing implementation and acceptability using a post-session survey and focus group (FG). Survey responses were compiled. FG transcripts were analyzed using inductive thematic analysis techniques. Fourteen students participated. Implementation was successful as interested students signed up and completed each of the course components. Regarding acceptability, students reported the training valuable and recommended it as preparation for robotic cases during core clerkships and sub-internships. In addition, FGs revealed 4 themes: (1) perceived expectations of students in the OR; (2) OR vs. outside-OR learning; (3) simulation of stress; and (4) opportunities to improve the simulation component. To increase preparation for the robotic OR and shift robotic training earlier in the surgical education continuum, educators should consider hands-on simulation for medical students. We demonstrate feasibility although logistics may limit scalability for large numbers of students.

Assessing the efficacy of dissection gestures in robotic surgery

Our group previously defined a dissection gesture classification system that deconstructs robotic tissue dissection into its most elemental yet meaningful movements. The purpose of this study was to expand upon this framework by adding an assessment of gesture efficacy (ineffective, effective, or erroneous) and analyze dissection patterns between groups of surgeons of varying experience. We defined three possible gesture efficacies as ineffective (no meaningful effect on the tissue), effective (intended effect on the tissue), and erroneous (unintended disruption of the tissue). Novices (0 prior robotic cases), intermediates (1-99 cases), and experts (≥ 100 cases) completed a robotic dissection task in a dry-lab training environment. Video recordings were reviewed to classify each gesture and determine its efficacy, then dissection patterns between groups were analyzed. 23 participants completed the task, with 9 novices, 8 intermediates with median caseload 60 (IQR 41-80), and 6 experts with median caseload 525 (IQR 413-900). For gesture selection, we found increasing experience associated with increasing proportion of overall dissection gestures (p = 0.009) and decreasing proportion of retraction gestures (p = 0.009). For gesture efficacy, novices performed the greatest proportion of ineffective gestures (9.8%, p < 0.001), intermediates commit the greatest proportion of erroneous gestures (26.8%, p < 0.001), and the three groups performed similar proportions of overall effective gestures, though experts performed the greatest proportion of effective retraction gestures (85.6%, p < 0.001). Between groups of experience, we found significant differences in gesture selection and gesture efficacy. These relationships may provide insight into further improving surgical training.

The Role of Humans in Surgery Automation

Innovation in healthcare promises unparalleled potential in optimizing the production, distribution, and use of the health workforce and infrastructure, allocating system resources more efficiently, and streamline care pathways and supply chains. A recent innovation contributing to this is robot-assisted surgeries (RAS). RAS causes less damage to the patient's body, less pain and discomfort, shorter hospital stays, quicker recovery times, smaller scars, and less risk of complications. However, introducing a robot in traditional surgeries is not straightforward and brings about new risks that conventional medical instruments did not pose before. For instance, since robots are sophisticated machines capable of acting autonomously, the surgical procedure's outcome is no longer limited to the surgeon but may also extend to the robot manufacturer and the hospital. This article explores the influence of automation on stakeholder responsibility in surgery robotization. To this end, we map how the role of different stakeholders in highly autonomous robotic surgeries is transforming, explore some of the challenges that robot manufacturers and hospital management will increasingly face as surgical procedures become more and more automated, and bring forward potential solutions to ascertain clarity in the role of stakeholders before, during, and after robot-enabled surgeries (i.e. a Robot Impact Assessment (ROBIA), a Robo-Terms framework inspired by the international trade system 'Incoterms', and a standardized adverse event reporting mechanism). In particular, we argue that with progressive robot autonomy, performance, oversight, and support will increasingly be shared between the human surgeon, the support staff, and the robot (and, by extent, the robot manufacturer), blurring the lines of who is responsible if something goes wrong. Understanding the exact role of humans in highly autonomous robotic surgeries is essential to map liability and bring certainty concerning the ascription of responsibility. We conclude that the full benefits the use of robotic innovations and solutions in surgery could bring to healthcare providers and receivers cannot be realized until there is more clarity on the division of responsibilities channeling robot autonomy and human performance, support, and oversight; a transformation on the education and training of medical staff, and betterment on the complex interplay between manufacturers, healthcare providers, and patients.

Training and credentialing in Robotic Surgery in India: Current perspectives

Robotic surgery has changed the landscape of surgery and ushered in a new era of technology-assisted minimally invasive surgery. There is a paradigm shift from traditional open surgeries to minimal access surgery, with robotic surgery being the new standard of care in some surgical fields. This change comes with an unprecedented influx of innovations in technology related to minimal access surgery, robotics and artificial intelligence. Despite the exponential advances in technology, there is a lacuna in the training and credentialling of robotic surgeons. In India, no dedicated training curriculum exists for trainees in robotic surgery. Thus, as robotic surgery continues to develop in India, it is imperative that robust training and credentialing systems are in place to ensure that patient safety and surgical outcomes are not compromised.

Unsupervised feature disentanglement for video retrieval in minimally invasive surgery

In this paper, we propose a novel method of Unsupervised Disentanglement of Scene and Motion (UDSM) representations for minimally invasive surgery video retrieval within large databases, which has the potential to advance intelligent and efficient surgical teaching systems. To extract more discriminative video representations, two designed encoders with a triplet ranking loss and an adversarial learning mechanism are established to respectively capture the spatial and temporal information for achieving disentangled features from each frame with promising interpretability. In addition, the long-range temporal dependencies are improved in an integrated video level using a temporal aggregation module and then a set of compact binary codes that carries representative features is yielded to realize fast retrieval. The entire framework is trained in an unsupervised scheme, i.e., purely learning from raw surgical videos without using any annotation. We construct two large-scale minimally invasive surgery video datasets based on the public dataset Cholec80 and our in-house dataset of laparoscopic hysterectomy, to establish the learning process and validate the effectiveness of our proposed method qualitatively and quantitatively on the surgical video retrieval task. Extensive experiments show that our approach significantly outperforms the state-of-the-art video retrieval methods on both datasets, revealing a promising future for injecting intelligence in the next generation of surgical teaching systems.

Healthcare Digitalisation and the Changing Nature of Work and Society

Digital technologies have profound effects on all areas of modern life, including the workplace. Certain forms of digitalisation entail simply exchanging digital files for paper, while more complex instances involve machines performing a wide variety of tasks on behalf of humans. While some are wary of the displacement of humans that occurs when, for example, robots perform tasks previously performed by humans, others argue that robots only perform the tasks that robots should have carried out in the very first place and never by humans. Understanding the impacts of digitalisation in the workplace requires an understanding of the effects of digital technology on the tasks we perform, and these effects are often not foreseeable. In this article, the changing nature of work in the health care sector is used as a case to analyse such change and its implications on three levels: the societal (macro), organisational (meso), and individual level (micro). Analysing these transformations by using a layered approach is helpful for understanding the actual magnitude of the changes that are occurring and creates the foundation for an informed regulatory and societal response. We argue that, while artificial intelligence, big data, and robotics are revolutionary technologies, most of the changes we see involve technological substitution and not infrastructural change. Even though this undermines the assumption that these new technologies constitute a fourth industrial revolution, their effects on the micro and meso level still require both political awareness and proportional regulatory responses.