Robotic Surgery Improves Technical Performance and Enhances Prefrontal Activation During High Temporal Demand

Using neuroimaging to assess brain activity and areas associated with surgical skills: a systematic review

BACKGROUND

Surgical skills acquisition is under continuous development due to the emergence of new technologies, and there is a need for assessment tools to develop along with these. A range of neuroimaging modalities has been used to map the functional activation of brain networks while surgeons acquire novel surgical skills. These have been proposed as a method to provide a deeper understanding of surgical expertise and offer new possibilities for the personalized training of future surgeons. With studies differing in modalities, outcomes, and surgical skills there is a need for a systematic review of the evidence. This systematic review aims to summarize the current knowledge on the topic and evaluate the potential use of neuroimaging in surgical education.

METHODS

We conducted a systematic review of neuroimaging studies that mapped functional brain activation while surgeons with different levels of expertise learned and performed technical and non-technical surgical tasks. We included all studies published before July 1st, 2023, in MEDLINE, EMBASE and WEB OF SCIENCE.

RESULTS

38 task-based brain mapping studies were identified, consisting of randomized controlled trials, case-control studies, and observational cohort or cross-sectional studies. The studies employed a wide range of brain mapping modalities, including electroencephalography, functional magnetic resonance imaging, positron emission tomography, and functional near-infrared spectroscopy, activating brain areas involved in the execution and sensorimotor or cognitive control of surgical skills, especially the prefrontal cortex, supplementary motor area, and primary motor area, showing significant changes between novices and experts.

CONCLUSION

Functional neuroimaging can reveal how task-related brain activity reflects technical and non-technical surgical skills. The existing body of work highlights the potential of neuroimaging to link task-related brain activity patterns with the individual level of competency or improvement in performance after training surgical skills. More research is needed to establish its validity and usefulness as an assessment tool.

Robotic surgery and work-related stress: A systematic review

Despite robot-assisted surgery (RAS) becoming increasingly common, little is known about the impact of the underlying work organization on the stress levels of members of the operating room (OR) team. To this end, assessing whether RAS may impact work-related stress, identifying associated stress factors and surveying relevant measurement methods seems critical. Using three databases (Scopus, Medline, Google Scholar), a systematic review was conducted leading to the analysis of 20 articles. Results regarding OR team stress levels and measurement methods were heterogeneous, which could be explained by differing research conditions (i.e., lab. vs. real-life). Relevant stressors such as (in)experience with RAS and quality of team communication were identified. Development of a common, more reliable methodology of stress assessment is required. Research should focus on real-life conditions in order to develop valid and actionable knowledge. Surgical teams would greatly benefit from discussing RAS-related stressors and developing team-specific strategies to handle them.

Cognitive ergonomics and robotic surgery

Cognitive ergonomics refer to mental resources and is associated with memory, sensory motor response, and perception. Cognitive workload (CWL) involves use of working memory (mental strain and effort) to complete a task. The three types of cognitive loads have been divided into intrinsic (dependent on complexity and expertise), extraneous (the presentation of tasks) and germane (the learning process) components. The effect of robotic surgery on CWL is complex because the postural, visualisation, and manipulation ergonomic benefits for the surgeon may be offset by the disadvantages associated with team separation and reduced situation awareness. Physical fatigue and workflow disruptions have a negative impact on CWL. Intraoperative CWL can be measured subjectively post hoc with the use of self-reported instruments or objectively with real-time physiological response metrics. Cognitive training can play a crucial role in the process of skill acquisition during the three stages of motor learning: from cognitive to integrative and then to autonomous. Mentorship, technical practice and watching videos are the most common traditional cognitive training methods in surgery. Cognitive training can also occur with computer-based cognitive simulation, mental rehearsal, and cognitive task analysis. Assessment of cognitive skills may offer a more effective way to differentiate robotic expertise level than automated performance (tool-based) metrics.

Bariatric Surgeon Ergonomics: A Comparison of Laparoscopy and Robotics

INTRODUCTION

Bariatric surgery is routinely performed using laparoscopic and robotic approaches. Musculoskeletal injuries are prevalent among both robotic and laparoscopic bariatric surgeons. Studies evaluating ergonomic differences between laparoscopic and robotic bariatric surgery are limited. This study aims to analyze the ergonomic, physical, and mental workload differences among surgeons performing robotic and laparoscopic bariatric surgery.

MATERIALS AND METHODS

All primary laparoscopic and robotic bariatric surgeries, Roux-en-Y gastric bypass, and sleeve gastrectomy between May and August 2022 were included in this study. Objective ergonomic analysis was performed by an observer evaluating each surgeon intraoperatively according to the validated Rapid Entire Body Assessment tool, with a higher score indicating more ergonomic strain. After each operation, surgeons subjectively evaluated their physical workload using the body part discomfort scale, and their mental workload using the surgery task load index.

RESULTS

Five bariatric surgeons participated in this study. In total, 50 operative cases were observed, 37 laparoscopic and 13 robotic. The median total Rapid Entire Body Assessmentscore as a primary surgeon was significantly higher in laparoscopic (6.0) compared to robotic (3.0) cases (P < 0.01). The laparoscopic and robotic approaches had no significant differences in the surgeons' physical (body part discomfort scale) or mental workload (surgery task load index).

CONCLUSIONS

This study identified low-risk ergonomic stress in surgeons performing bariatric surgery robotically compared to medium-risk stress laparoscopically. Since ergonomic stress can exist even without the perception of physical or mental stress, this highlights the importance of external observations to optimize ergonomics for surgeons in the operating room.

The stress for surgeons: exploring stress entities with the robotic senhance surgical system

Robotic surgery is on its way to revolutionizing traditional surgical procedures, offering precise and minimally invasive techniques hypothesized to shorten recovery times and improve patient outcomes. While there have been multiple publications on robotic systems' medical and procedural achievements, more emphasis should be put on the surgeon's experience, especially in comparison with laparoscopic surgery. The present report aims to systematically examine the stress impact on surgeons by comparing the robotic Senhance Surgical System (Asensus Surgical, Durham, North Carolina, U.S.A) to laparoscopic surgery. The well-established "SURG-TLX" survey is used to measure distinct stress entities. The "SURG-TLX" survey is a modified version of the NASA-TLX, validated for surgery by M. Willson. Based on a comprehensive database from six centers encompassing various disciplines and surgical procedures, our analysis indicates significantly reduced "overall stress" levels for robotic (cockpit) compared to laparoscopic surgeons. Exploring the "SURG-TLX" stress dimensions further between methods (robotic vs. laparoscopic) and surgeon position (laparoscopic, (robotic) bedside, or (robotic) cockpit) resulted in significantly more Mental (p.value < 0.015), less Physical Demands (p.value < 0.001) and less Distraction (p.value < 0.009) for robotic surgery, especially regarding the robotic cockpit surgeons. This finding suggests that robotic surgery with the Senhance Surgical System contributes to a favorable stress profile for surgeons, potentially enhancing their overall well-being and performance.

Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review

BACKGROUND

There is a need to standardize training in robotic surgery, including objective assessment for accreditation. This systematic review aimed to identify objective tools for technical skills assessment, providing evaluation statuses to guide research and inform implementation into training curricula.

METHODS

A systematic literature search was conducted in accordance with the PRISMA guidelines. Ovid Embase/Medline, PubMed and Web of Science were searched. Inclusion criterion: robotic surgery technical skills tools. Exclusion criteria: non-technical, laparoscopy or open skills only. Manual tools and automated performance metrics (APMs) were analysed using Messick's concept of validity and the Oxford Centre of Evidence-Based Medicine (OCEBM) Levels of Evidence and Recommendation (LoR). A bespoke tool analysed artificial intelligence (AI) studies. The Modified Downs-Black checklist was used to assess risk of bias.

RESULTS

Two hundred and forty-seven studies were analysed, identifying: 8 global rating scales, 26 procedure-/task-specific tools, 3 main error-based methods, 10 simulators, 28 studies analysing APMs and 53 AI studies. Global Evaluative Assessment of Robotic Skills and the da Vinci Skills Simulator were the most evaluated tools at LoR 1 (OCEBM). Three procedure-specific tools, 3 error-based methods and 1 non-simulator APMs reached LoR 2. AI models estimated outcomes (skill or clinical), demonstrating superior accuracy rates in the laboratory with 60 per cent of methods reporting accuracies over 90 per cent, compared to real surgery ranging from 67 to 100 per cent.

CONCLUSIONS

Manual and automated assessment tools for robotic surgery are not well validated and require further evaluation before use in accreditation processes.PROSPERO: registration ID CRD42022304901.

Assessment of learning in simulator-based arthroscopy training with the diagnostic arthroscopy skill score (DASS) and neurophysiological measures

PURPOSE

Virtual arthroscopic training has become increasingly popular. However, there is a lack of efficiency-based tracking of the trainee, which may be critical for determining the specifics of training programs and adapting them for the needs of each trainee. This study aims to evaluate and compare the measures obtained with a non-invasive neurophysiological method with The Diagnostic Arthroscopy Skill Score (DASS), a commonly used assessment tool for evaluating arthroscopic skills.

METHODS

The study collected simulator performance scores, consisting of "Triangulation Right Hand", "Triangulation Left Hand", "Catch the Stars" and "Three Rings" and DASS scores from 22 participants (11 novices, 11 experts). These scores were obtained while participants underwent a structured program of exercises for the fundamentals of arthroscopic surgery training (FAST) and knee module using a simulator-based arthroscopy device. During the evaluation, data on oxy-hemoglobin and deoxy-hemoglobin levels in the prefrontal cortex were collected using the Functional Near-Infrared Spectroscopy (fNIRS) imaging system. Performance scores, DASS scores, and fNIRS data were subsequently analyzed to determine any correlation between performance and cortex activity.

RESULTS

The simulator performance scores and the DASSPart2 scores were significantly higher in the expert group compared to the novice group (200.1 ± 28.5 vs 172.5 ± 48.9, p = 0.04 and 9.4 ± 5.6 vs. 5.4 ± 5.6 p = 0.02). In the expert group, fNIRS data showed a significantly lower prefrontal cortex activation during fundamental tasks in the FAST module, indicating significantly more efficient mental resource use.

CONCLUSION

The analysis of cognitive workload changes during simulation-based arthroscopy training revealed a significant correlation between the trainees' DASS scores and fNIRS data. This correlation suggests the potential use of fNIRS data and DASS scores as additional metrics to create adaptive training protocols for each participant. By incorporating these metrics, the training process can be optimized, leading to more efficient arthroscopic training and better preparedness for clinical operations.

LEVEL OF EVIDENCE

III.

Demographic and practice patterns among minimally invasive surgery fellowship graduates

INTRODUCTION

Previous reports show that over 85% of general surgery residents choose to pursue fellowship training after completing residency. There continues to be an increase interest among general surgery residents in minimally invasive surgery (MIS) fellowship. Moreover, demographic disparities, particularly gender disparities continue to persist among surgical sub-specialties. In this study, we evaluated the gender disparities and practice patterns among graduating MIS fellows.

METHODS AND PROCEDURES

MIS fellows were surveyed, and 169 results were received from fellows who completed training in the years: 2010, 2015-2019. Surveys collected were used to create a descriptive analysis of the demographics, practice patterns and job finding measures. Loglinear regression model was performed to assess gender trend variation over training years.

RESULTS

Fellows self-reported gender showed 65% male, 30% female, and 5% prefer not to say. The cohort of participants was described as 45.3% white, 5.3% African American, and 6.5% Hispanic or Latino. Further, results showed 87.1% of fellows work in MIS surgery with 91.8% reporting their fellowship experience facilitated their ability to find a job. Most alumni pursue a comprehensive MIS practice. Moreover, the proportion of female fellows increased from 29 to 41%, but this increase over time was not significant using loglinear regressions [p-value = 0.0810, Relative risk = 1.1994 (95% CI 0.9778, 1.4711)].

CONCLUSION

Overall, there is good evidence to support that fellowship training facilitates future career advancements. Further, MIS fellows have differential practice patterns. Finally, females remain underrepresented among the MIS fellows which should call for leadership action to bridge these gaps.

Unpacking the Broad Landscape of Intraoperative Stressors for Clinical Personnel: A Mixed-Methods Systematic Review

Purpose

The main goals of this mixed-methods systematic review are to identify what types of intraoperative stressors for operating room personnel have been reported in collected studies and examine the characteristics of each intraoperative stressor.

Methods

With a systematic literature search, we retrieved empirical studies examining intraoperative stress published between 2010 and 2020. To synthesize findings, we applied two approaches. First, a textual narrative synthesis was employed to summarize key study information of the selected studies by focusing on surgical platforms and study participants. Second, a thematic synthesis was employed to identify and characterize intraoperative stressors and their subtypes.

Results

Ninety-four studies were included in the review. Regarding the surgical platforms, the selected studies mainly focused on minimally invasive surgery and few studies examined issues around robotic surgery. Most studies examined intra-operative stress from surgeons' perspectives but rarely considered other clinical personnel such as nurses and anesthetists. Among seven identified stressors, technical factors were the most frequently examined followed by individual, operating room environmental, interpersonal, temporal, patient, and organizational factors.

Conclusion

By presenting stressors as multifaceted elements affecting collaboration and interaction between multidisciplinary team members in the operating room, we discuss the potential interactions between stressors which should be further investigated to build a safe and efficient environment for operating room personnel.

Optical neuroimaging and neurostimulation in surgical training and assessment: A state-of-the-art review

Introduction

Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical neuroimaging technique used to assess surgeons' brain function. The aim of this narrative review is to outline the effect of expertise, stress, surgical technology, and neurostimulation on surgeons' neural activation patterns, and highlight key progress areas required in surgical neuroergonomics to modulate training and performance.

Methods

A literature search of PubMed and Embase was conducted to identify neuroimaging studies using fNIRS and neurostimulation in surgeons performing simulated tasks.

Results

Novice surgeons exhibit greater haemodynamic responses across the pre-frontal cortex than experts during simple surgical tasks, whilst expert surgical performance is characterized by relative prefrontal attenuation and upregulation of activation foci across other regions such as the supplementary motor area. The association between PFC activation and mental workload follows an inverted-U shaped curve, activation increasing then attenuating past a critical inflection point at which demands outstrip cognitive capacity Neuroimages are sensitive to the impact of laparoscopic and robotic tools on cognitive workload, helping inform the development of training programs which target neural learning curves. FNIRS differs in comparison to current tools to assess proficiency by depicting a cognitive state during surgery, enabling the development of cognitive benchmarks of expertise. Finally, neurostimulation using transcranial direct-current-stimulation may accelerate skill acquisition and enhance technical performance.

Conclusion

FNIRS can inform the development of surgical training programs which modulate stress responses, cognitive learning curves, and motor skill performance. Improved data processing with machine learning offers the possibility of live feedback regarding surgeons' cognitive states during operative procedures.

Construct Validity of a Novel Assessment System for Laparoscopic Suture Accuracy Based on Stereoscopy

BACKGROUND

An accurate and objective measuring tool is lacking for laparoscopic suture accuracy assessment in simulation training. We designed and developed the suture accuracy testing system (SATS) and aimed to determine its construct validity in this study.

METHODS

Twenty laparoscopic experts and 20 novices were recruited to perform a suturing task in three sessions using traditional laparoscopic instruments (Tra. session), a handheld multi-degree-of-freedom (MDoF) laparoscopic instrument (MDoF session) and a surgical robot (Rob. session), respectively. The needle entry and exit errors were calculated using the SATS and compared between the two groups.

RESULTS

No significant difference of the needle entry error was found in all comparisons. As for the needle exit error, the value of the novice group was significantly higher than that of the expert group in Tra. session (3.48 ± 0.61 mm vs. 0.85 ± 0.14 mm; p = 1.451e-11) and MDoF session (2.65 ± 0.41 mm vs. 1.06 ± 0.17 mm; p = 1.451e-11) but not in Rob. session (0.51 ± 0.12 mm vs. 0.45 ± 0.08 mm; p = 0.091).

CONCLUSIONS

The SATS demonstrates construct validity. Surgeons' experience in conventional laparoscopic instruments could be transferred to the MDoF instrument. Surgical robot helps to improve suture accuracy and may bridge the experience gap between laparoscopic experts and novices in basic exercises.

Next in Surgical Data Science: Autonomous Non-Technical Skill Assessment in Minimally Invasive Surgery Training

Background: It is well understood that surgical skills largely define patient outcomes both in Minimally Invasive Surgery (MIS) and Robot-Assisted MIS (RAMIS). Non-technical surgical skills, including stress and distraction resilience, decision-making and situation awareness also contribute significantly. Autonomous, technologically supported objective skill assessment can be efficient tools to improve patient outcomes without the need to involve expert surgeon reviewers. However, autonomous non-technical skill assessments are unstandardized and open for more research. Recently, Surgical Data Science (SDS) has become able to improve the quality of interventional healthcare with big data and data processing techniques (capture, organization, analysis and modeling of data). SDS techniques can also help to achieve autonomous non-technical surgical skill assessments. Methods: An MIS training experiment is introduced to autonomously assess non-technical skills and to analyse the workload based on sensory data (video image and force) and a self-rating questionnaire (SURG-TLX). A sensorized surgical skill training phantom and adjacent training workflow were designed to simulate a complicated Laparoscopic Cholecystectomy task; the dissection of the cholecyst’s peritonial layer and the safe clip application on the cystic artery in an uncomfortable environment. A total of 20 training sessions were recorded from 7 subjects (3 non-medicals, 2 residents, 1 expert surgeon and 1 expert MIS surgeon). Workload and learning curves were studied via SURG-TLX. For autonomous non-technical skill assessment, video image data with tracked instruments based on Channel and Spatial Reliability Tracker (CSRT) and force data were utilized. An autonomous time series classification was achieved by a Fully Convolutional Neural Network (FCN), where the class labels were provided by SURG-TLX. Results: With unpaired t-tests, significant differences were found between the two groups (medical professionals and control) in certain workload components (mental demands, physical demands, and situational stress, p<0.0001, 95% confidence interval, p<0.05 for task complexity). With paired t-tests, the learning curves of the trials were also studied; the task complexity resulted in a significant difference between the first and the second trials. Autonomous non-technical skill classification was based on the FCN by applying the tool trajectories and force data as input. This resulted in a high accuracy (85%) on temporal demands classification based on the z component of the used forces and 75% accuracy for classifying mental demands/situational stress with the x component of the used forces validated with Leave One Out Cross-Validation. Conclusions: Non-technical skills and workload components can be classified autonomously based on measured training data. SDS can be effective via automated non-technical skill assessment.

Auswirkungen der COVID-19-Pandemie auf die robotische Viszeralchirurgie in Deutschland

Einleitung

Der Einsatz roboterassistierter Operationen verzeichnet in der Viszeralchirurgie gegenwärtig einen stetigen Zuwachs. Im Jahr 2020 hat die COVID-19-Pandemie den klinischen und chirurgischen Alltag unerwartet wesentlich verändert. Wir haben in einer Umfrage den Status der roboterassistierten Viszeralchirurgie in Deutschland sowie die gegenwärtigen Ausbildungskonzepte evaluiert und deren Veränderungen unter dem Einfluss der COVID-19-Pandemie untersucht.

Material und Methoden

In einer umfangreichen Recherche wurden 89 Kliniken identifiziert, welche ein Robotersystem für die Viszeralchirurgie 2020 einsetzten. Diese Kliniken wurden über eine webbasierte anonyme Umfrage mit 35 Fragen dreimal kontaktiert. Die Fragen bezogen sich auf die Einsatzgebiete eines Operationsroboters in der Viszeralchirurgie, die dazugehörige klinische Ausbildung und den Einfluss der COVID-19-Pandemie auf das bestehende Programm.

Ergebnisse

Von den angeschriebenen Kliniken haben 22 (24,7%) eine Rückmeldung gegeben. Hiervon waren 17 (19,1%) Fragebögen auswertbar. Es beteiligten sich 58,8% Universitätsklinika, 17,6% Maximalversorger und 23,5% Schwerpunktkrankenhäuser an der Studie. Der Operationsroboter wurde am oberen Gastrointestinaltrakt (OGIT; 88,2%), am hepatopankreatikobiliären System (HPB; 82,4%) und im kolorektalen Bereich (KRK; 94,1%) sowie bei der Hernienversorgung (35,3%) eingesetzt. Der relative Anteil robotischer Eingriffe am operierten Gesamtkollektiv lag dabei zwischen 0,3% und 15,4%. Die Konversionsraten für 2020 lag im Mittel bei 4,6 ± 3,2%. Die Operationsroboter wurden zum Großteil im interdisziplinären Setting wechselweise mit anderen chirurgischen Disziplinen (82,4%) genutzt. Zu Lehrzwecken stand in sieben Kliniken (41,2%) eine zweite Konsole zur Verfügung. Die Ausbildungsstrukturen waren sehr heterogen und nur 13,2 ± 6,5% der Chirurg*innen pro Klinik waren in das Roboterprogramm involviert. In 82,4% existierten feste Teams, die sich aus Ober‑, Fach- und Assistenzärzt*innen zusammensetzen und in 76,5% wurden Ärzt*innen und Pflegepersonal über klinikinterne Ausbildungsprogramme geschult. Die COVID-19-Pandemie hatte einen Fallzahlrückgang robotischer Eingriffe im Vergleich zu 2019 bei 70% der Kliniken vor allem im zweiten Jahresquartal 2020 (64,7%) zur Folge. Dies wurde auf Personalmangel nichtchirurgischer Disziplinen (Anästhesie 35,3%, OP-Pflege 35,3%, Intensivmedizin 17,6%), interne Regularien (58,8%) und begrenzte Intensiv- oder Überwachungskapazitäten (47,1%) zurückgeführt. Die COVID-19-Pandemie führte in der robotischen Ausbildung teilweise bei der Assistenz am OP-Tisch (23,5%) und der Assistenz an der zweiten Konsole (42,9%) zu einem kompletten Ausbildungsstopp. Ausschlaggebend für diese Entwicklung war überwiegend der Rückgang der Operationszahlen.

Schlussfolgerung

Die Robotik wird mittlerweile in einem breiten Spektrum der Viszeralchirurgie an Kliniken mit unterschiedlichen Versorgungsschwerpunkten in Deutschland eingesetzt. Der relative Anteil der Eingriffe am Gesamtspektrum ist allerdings noch gering. Roboterassistierte Eingriffe sind expertenfokussiert und es bestehen sehr heterogene Ausbildungskonzepte. Ein Lernerfolg mit konstanten und niedrigen Konversionsraten ist nach wenigen Jahren mit zunehmender Erfahrung zu erkennen. Die COVID-19-Pandemie hatte insgesamt einen negativen Einfluss auf die robotischen OP-Fallzahlen und die damit verbundenen Ausbildungsmöglichkeiten bei freien chirurgischen Personalressourcen. Hier ist eine kreative Gestaltung optimierter Ausbildungsmodalitäten erforderlich.

Neuroenhancement of surgeons during robotic suturing

BACKGROUND

The initial phases of robotic surgical skills acquisition are associated with poor technical performance, such as low knot-tensile strength (KTS). Transcranial direct-current stimulation (tDCS) can improve force and accuracy in motor tasks but research in surgery is limited to open and laparoscopic tasks in students. More recently, robotic surgery has gained traction and is now the most common approach for certain procedures (e.g. prostatectomy). Early-phase robotic suturing performance is dependent on prefrontal cortex (PFC) activation, and this study aimed to determine whether performance can be improved with prefrontal tDCS.

METHODS

Fifteen surgical residents were randomized to either active then sham tDCS or sham then active tDCS, in two counterbalanced sessions in a double-blind crossover study. Within each session, participants performed a robotic suturing task repeated in three blocks: pre-, intra- and post-tDCS. During the intra-tDCS block, participants were randomized to either active tDCS (2 mA for 15 min) to the PFC or sham tDCS. Primary outcome measures of technical quality included KTS and error scores.

RESULTS

Significantly faster completion times were observed longitudinally, regardless of active (p < 0.001) or sham stimulation (p < 0.001). KTS was greater following active compared to sham stimulation (median: active = 44.35 N vs. sham = 27.12 N, p < 0.001). A significant reduction in error scores from "pre-" to "post-" (p = 0.029) were only observed in the active group.

CONCLUSION

tDCS could reduce error and enhance KTS during robotic suturing and warrants further exploration as an adjunct to robotic surgical training.

Methods and Measures for Mental Stress Assessment in Surgery: A Systematic Review of 20 Years of Literature

Real-time mental stress monitoring from surgeons and surgical staff in operating rooms may reduce surgical injuries, improve performance and quality of medical care, and accelerate implementation of stress-management strategies. Motivated by the increase in usage of objective and subjective metrics for cognitive monitoring and by the gap in reviews of experimental design setups and data analytics, a systematic review of 71 studies on mental stress and workload measurement in surgical settings, published in 2001-2020, is presented. Almost 61% of selected papers used both objective and subjective measures, followed by 25% that only administered subjective tools - mostly consisting of validated instruments and customized surveys. An overall increase in the total number of publications on intraoperative stress assessment was observed from mid-2010 s along with a momentum in the use of both subjective and real-time objective measures. Cardiac activity, including heart-rate variability metrics, stress hormones, and eye-tracking metrics were the most frequently and electroencephalography (EEG) was the least frequently used objective measures. Around 40% of selected papers collected at least two objective measures, 41% used wearable devices, 23% performed synchronization and annotation, and 76% conducted baseline or multi-point data acquisition. Furthermore, 93% used a variety of statistical techniques, 14% applied regression models, and only one study released a public, anonymized dataset. This review of data modalities, experimental setups, and analysis techniques for intraoperative stress monitoring highlights the initiatives of surgical data science and motivates research on computational techniques for mental and surgical skills assessment and cognition-guided surgery.

Neuroadaptive Training via fNIRS in Flight Simulators

Training to master a new skill often takes a lot of time, effort, and financial resources, particularly when the desired skill is complex, time sensitive, or high pressure where lives may be at risk. Professions such as aircraft pilots, surgeons, and other mission-critical operators that fall under this umbrella require extensive domain-specific dedicated training to enable learners to meet real-world demands. In this study, we describe a novel neuroadaptive training protocol to enhance learning speed and efficiency using a neuroimaging-based cognitive workload measurement system in a flight simulator. We used functional near-infrared spectroscopy (fNIRS), which is a wearable, mobile, non-invasive neuroimaging modality that can capture localized hemodynamic response and has been used extensively to monitor the anterior prefrontal cortex to estimate cognitive workload. The training protocol included four sessions over 2 weeks and utilized realistic piloting tasks with up to nine levels of difficulty. Learners started at the lowest level and their progress adapted based on either behavioral performance and fNIRS measures combined (neuroadaptive) or performance measures alone (control). Participants in the neuroadaptive group were found to have significantly more efficient training, reaching higher levels of difficulty or significantly improved performance depending on the task, and showing consistent patterns of hemodynamic-derived workload in the dorsolateral prefrontal cortex. The results of this study suggest that a neuroadaptive personalized training protocol using non-invasive neuroimaging is able to enhance learning of new tasks. Finally, we outline here potential avenues for further optimization of this fNIRS based neuroadaptive training approach. As fNIRS mobile neuroimaging is becoming more practical and accessible, the approaches developed here can be applied in the real world in scale.

Neuromonitoring Correlates of Expertise Level in Surgical Performers: A Systematic Review

Surgical expertise does not have a clear definition and is often culturally associated with power, authority, prestige, and case number rather than more objective proxies of excellence. Multiple models of expertise progression have been proposed including the Dreyfus model, however, they all currently require subjective evaluation of skill. Recently, efforts have been made to improve the ways in which surgical excellence is measured and expertise is defined using artificial intelligence, video recordings, and accelerometers. However, these aforementioned methods of assessment are still subjective or indirect proxies of expertise, thus uncovering the neural mechanisms that differentiate expert surgeons from trainees may enhance the objectivity of surgical expertise validation. In fact, some researchers have already suggested that their neural imaging-based expertise classification methods outperform currently used methods of surgical skill certification such as the Fundamentals of Laparoscopic Surgery (FLS) scores. Such imaging biomarkers would not only help better identify the highest performing surgeons, but could also improve residency programs by providing more objective, evidence-based feedback and developmental milestones for those in training and perhaps act as a marker of surgical potential in medical students. Despite the potential advantages of using neural imaging in the assessment of surgical expertise, this field of research remains in its infancy. This systematic review identifies studies that have applied neuromonitoring in assessing surgical skill across levels of expertise. The goals of this review are to identify (1) the strongest neural indicators of surgical expertise, (2) the limitations of the current literature on this subject, (3) the most sensible future directions for further study. We found substantial evidence that surgical expertise can be delineated by differential activation and connectivity in the prefrontal cortex (PFC) across multiple task and neuroimaging modalities. Specifically, novices tend to have greater PFC activation than experts under standard conditions in bimanual and decision-making tasks. However, under high temporal demand tasks, experts had increased PFC activation whereas novices had decreased PFC activation. Common limitations uncovered in this review were that task difficulty was often insufficient to delineate between residents and attending. Moreover, attending level involvement was also low in multiple studies which may also have contributed to this issue. Most studies did not analyze the ability of their neuromonitoring findings to accurately classify subjects by level of expertise. Finally, the predominance of fNIRS as the neuromonitoring modality limits our ability to uncover the neural correlates of surgical expertise in non-cortical brain regions. Future studies should first strive to address these limitations. In the longer term, longitudinal within-subjects design over the course of a residency or even a career will also advance the field. Although logistically arduous, such studies would likely be most beneficial in demonstrating effects of increasing surgical expertise on regional brain activation and inter-region connectivity.

Studying Brain Activation during Skill Acquisition via Robot-Assisted Surgery Training

Robot-assisted surgery systems are a recent breakthrough in minimally invasive surgeries, offering numerous benefits to both patients and surgeons including, but not limited to, greater visualization of the operation site, greater precision during operation and shorter hospitalization times. Training on robot-assisted surgery (RAS) systems begins with the use of high-fidelity simulators. Hence, the increasing demand of employing RAS systems has led to a rise in using RAS simulators to train medical doctors. The aim of this study was to investigate the brain activity changes elicited during the skill acquisition of resident surgeons by measuring hemodynamic changes from the prefrontal cortex area via a neuroimaging sensor, namely, functional near-infrared spectroscopy (fNIRS). Twenty-four participants, who are resident medical doctors affiliated with different surgery departments, underwent an RAS simulator training during this study and completed the sponge suturing tasks at three different difficulty levels in two consecutive sessions/blocks. The results reveal that cortical oxygenation changes in the prefrontal cortex were significantly lower during the second training session (Block 2) compared to the initial training session (Block 1) (p < 0.05).

A New Statistical Approach for fNIRS Hyperscanning to Predict Brain Activity of Preschoolers' Using Teacher's

Hyperscanning studies using functional Near-Infrared Spectroscopy (fNIRS) have been performed to understand the neural mechanisms underlying human-human interactions. In this study, we propose a novel methodological approach that is developed for fNIRS multi-brain analysis. Our method uses support vector regression (SVR) to predict one brain activity time series using another as the predictor. We applied the proposed methodology to explore the teacher-student interaction, which plays a critical role in the formal learning process. In an illustrative application, we collected fNIRS data of the teacher and preschoolers’ dyads performing an interaction task. The teacher explained to the child how to add two numbers in the context of a game. The Prefrontal cortex and temporal-parietal junction of both teacher and student were recorded. A multivariate regression model was built for each channel in each dyad, with the student’s signal as the response variable and the teacher’s ones as the predictors. We compared the predictions of SVR with the conventional ordinary least square (OLS) predictor. The results predicted by the SVR model were statistically significantly correlated with the actual test data at least one channel-pair for all dyads. Overall, 29/90 channel-pairs across the five dyads (18 channels 5 dyads = 90 channel-pairs) presented significant signal predictions withthe SVR approach. The conventional OLS resulted in only 4 out of 90 valid predictions. These results demonstrated that the SVR could be used to perform channel-wise predictions across individuals, and the teachers’ cortical activity can be used to predict the student brain hemodynamic response.

Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery

BACKGROUND: Sensor technologies and data collection practices are changing and improving quality metrics across various domains. Surgical skill assessment in Robot-Assisted Minimally Invasive Surgery (RAMIS) is essential for training and quality assurance. The mental workload on the surgeon (such as time criticality, task complexity, distractions) and non-technical surgical skills (including situational awareness, decision making, stress resilience, communication, leadership) may directly influence the clinical outcome of the surgery. METHODS: A literature search in PubMed, Scopus and PsycNet databases was conducted for relevant scientific publications. The standard PRISMA method was followed to filter the search results, including non-technical skill assessment and mental/cognitive load and workload estimation in RAMIS. Publications related to traditional manual Minimally Invasive Surgery were excluded, and also the usability studies on the surgical tools were not assessed. RESULTS: 50 relevant publications were identified for non-technical skill assessment and mental load and workload estimation in the domain of RAMIS. The identified assessment techniques ranged from self-rating questionnaires and expert ratings to autonomous techniques, citing their most important benefits and disadvantages. CONCLUSIONS: Despite the systematic research, only a limited number of articles was found, indicating that non-technical skill and mental load assessment in RAMIS is not a well-studied area. Workload assessment and soft skill measurement do not constitute part of the regular clinical training and practice yet. Meanwhile, the importance of the research domain is clear based on the publicly available surgical error statistics. Questionnaires and expert-rating techniques are widely employed in traditional surgical skill assessment; nevertheless, recent technological development in sensors and Internet of Things-type devices show that skill assessment approaches in RAMIS can be much more profound employing automated solutions. Measurements and especially big data type analysis may introduce more objectivity and transparency to this critical domain as well. SIGNIFICANCE: Non-technical skill assessment and mental load evaluation in Robot-Assisted Minimally Invasive Surgery is not a well-studied area yet; while the importance of this domain from the clinical outcome's point of view is clearly indicated by the available surgical error statistics.

Neuroenhancement in surgeons: benefits, risks and ethical dilemmas

Background

Surgeons traditionally aim to reduce mistakes in healthcare through repeated training and advancement of surgical technology. Recently, performance-enhancing interventions such as neurostimulation are emerging which may offset errors in surgical practice.

Methods

Use of transcranial direct-current stimulation (tDCS), a novel neuroenhancement technique that has been applied to surgeons to improve surgical technical performance, was reviewed. Evidence supporting tDCS improvements in motor and cognitive performance outside of the field of surgery was assessed and correlated with emerging research investigating tDCS in the surgical setting and potential applications to wider aspects of healthcare. Ethical considerations and future implications of using tDCS in surgical training and perioperatively are also discussed.

Results

Outside of surgery, tDCS studies demonstrate improved motor performance with regards to reaction time, task completion, strength and fatigue, while also suggesting enhanced cognitive function through multitasking, vigilance and attention assessments. In surgery, current research has demonstrated improved performance in open knot-tying, laparoscopic and robotic skills while also offsetting subjective temporal demands. However, a number of ethical issues arise from the potential application of tDCS in surgery in the form of safety, coercion, distributive justice and fairness, all of which must be considered prior to implementation.

Conclusion

Neuroenhancement may improve motor and cognitive skills in healthcare professions with impact on patient safety. Implementation will require accurate protocols and regulations to balance benefits with the associated ethical dilemmas, and to direct safe use for clinicians and patients.

Neural Efficiency of Human-Robotic Feedback Modalities Under Stress Differs With Gender

Sensory feedback, which can be presented in different modalities - single and combined, aids task performance in human-robotic interaction (HRI). However, combining feedback modalities does not always lead to optimal performance. Indeed, it is not known how feedback modalities affect operator performance under stress. Furthermore, there is limited information on how feedback affects neural processes differently for males and females and under stress. This is a critical gap in the literature, particularly in the domain of surgical robotics, where surgeons are under challenging socio-technical environments that burden them physiologically. In the present study, we posited operator performance as the summation of task performance and neurophysiological cost of maintaining that performance. In a within-subject design, we used functional near-infrared spectroscopy to assess cerebral activations of 12 participants who underwent a 3D manipulation task within a virtual environment with concurrent feedback (visual and visual + haptic) in the presence and absence of a cognitive stressor. Cognitive stress was induced with the serial-7 subtraction test. We found that while task performance was higher with visual than visual + haptic feedback, it degraded under stress. The two feedback modalities were found to be associated with varying neural activities and neural efficiencies, and these were stress- and gender-dependent. Our findings engender further investigation into effectiveness of feedback modalities on males and females under stressful conditions in HRI.