Multitasking and Time Pressure in the Operating Room: Impact on Surgeons' Brain Function

Enhancing human-AI collaboration: The case of colonoscopy

Diagnostic errors impact patient health and healthcare costs. Artificial Intelligence (AI) shows promise in mitigating this burden by supporting Medical Doctors in decision-making. However, the mere display of excellent or even superhuman performance by AI in specific tasks does not guarantee a positive impact on medical practice. Effective AI assistance should target the primary causes of human errors and foster effective collaborative decision-making with human experts who remain the ultimate decision-makers. In this narrative review, we apply these principles to the specific scenario of AI assistance during colonoscopy. By unraveling the neurocognitive foundations of the colonoscopy procedure, we identify multiple bottlenecks in perception, attention, and decision-making that contribute to diagnostic errors, shedding light on potential interventions to mitigate them. Furthermore, we explored how existing AI devices fare in clinical practice and whether they achieved an optimal integration with the human decision-maker. We argue that to foster optimal Human-AI collaboration, future research should expand our knowledge of factors influencing AI's impact, establish evidence-based cognitive models, and develop training programs based on them. These efforts will enhance human-AI collaboration, ultimately improving diagnostic accuracy and patient outcomes. The principles illuminated in this review hold more general value, extending their relevance to a wide array of medical procedures and beyond.

"Good Care Is Slow Enough to Be Able to Pay Attention": Primary Care Time Scarcity and Patient Safety

BACKGROUND

There is growing, widespread recognition that expectations of US primary care vastly exceed the time and resources allocated to it. Little research has directly examined how time scarcity contributes to harm or patient safety incidents not readily capturable by population-based quality metrics.

OBJECTIVE

To examine near-miss events identified by primary care physicians in which taking additional time improved patient care or prevented harm.

DESIGN

Qualitative study based on semi-structured interviews.

PARTICIPANTS

Twenty-five primary care physicians practicing in the USA.

APPROACH

Participants completed a survey that included demographic questions, the Ballard Organizational Temporality Scale and the Mini-Z scale, followed by a one hour qualitative interview over video-conference (Zoom). Iterative thematic qualitative data analysis was conducted.

KEY RESULTS

Primary care physicians identified several types of near-miss events in which taking extra time during visits changed their clinical management. These were evident in five types of patient care episodes: high-risk social situations, high-risk medication regimens requiring patient education, high acuity conditions requiring immediate workup or treatment, interactions of physical and mental health, and investigating more subtle clinical suspicions. These near-miss events highlight the ways in which unreasonably large patient panels and packed schedules impede adequate responses to patient care episodes that are time sensitive and intensive or require flexibility.

CONCLUSIONS

Primary care physicians identify and address patient safety issues and high-risk situations by spending more time than allotted for a given patient encounter. Current quality metrics do not account for this critical aspect of primary care work. Current healthcare policy and organization create time scarcity. Interventions to address time scarcity and to measure its prevalence and implications for care quality and safety are urgently needed.

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.

Surgical Sabermetrics: A Scoping Review of Technology-enhanced Assessment of Nontechnical Skills in the Operating Room

OBJECTIVE

To evaluate the current evidence for surgical sabermetrics: digital methods of assessing surgical nontechnical skills and investigate the implications for enhancing surgical performance.

BACKGROUND

Surgeons need high-quality, objective, and timely feedback to optimize performance and patient safety. Digital tools to assess nontechnical skills have the potential to reduce human bias and aid scalability. However, we do not fully understand which of the myriad of digital metrics of performance assessment have efficacy for surgeons.

METHODS

A systematic review was conducted by searching PubMed, EMBASE, CINAHL, and PSYCINFO databases following PRISMA-ScR guidelines. MeSH terms and keywords included "Assessment," "Surgeons," and "Technology". Eligible studies included a digital assessment of nontechnical skills for surgeons, residents, and/or medical students within an operative context.

RESULTS

From 19,229 articles screened, 81 articles met the inclusion criteria. The studies varied in surgical specialties, settings, and outcome measurements. A total of 122 distinct objective, digital metrics were utilized. Studies digitally measured at least 1 category of surgical nontechnical skill using a single (n=54) or multiple objective measures (n=27). The majority of studies utilized simulation (n=48) over live operative settings (n=32). Surgical Sabermetrics has been demonstrated to be beneficial in measuring cognitive load (n=57), situation awareness (n=24), communication (n=3), teamwork (n=13), and leadership (n=2). No studies measured intraoperative decision-making.

CONCLUSIONS

The literature detailing the intersection between surgical data science and operative nontechnical skills is diverse and growing rapidly. Surgical Sabermetrics may provide a promising modifiable technique to achieve desirable outcomes for both the surgeon and the patient. This study identifies a diverse array of measurements possible with sensor devices and highlights research gaps, including the need for objective assessment of decision-making. Future studies may advance the integration of physiological sensors to provide a holistic assessment of surgical performance.

Stress responses in surgical trainees during simulation-based training courses in laparoscopy

BACKGROUND

Simulation-based training courses in laparoscopy have become a fundamental part of surgical training programs. Surgical skills in laparoscopy are challenging to master, and training in these skills induces stress responses in trainees. There is limited data on trainees' stress levels, the stress responses related to training on different laparoscopic simulators, and how previous experiences influence trainees' stress response during a course. This study investigates physiologic, endocrine and self-reported stress responses during simulation-based surgical skills training in a course setting.

METHODS

We conducted a prospective observational study of trainees attending basic laparoscopic skills training courses at a national training centre. During the three-day course, participants trained on different laparoscopic simulators: Two box-trainers (the D-box and P.O.P. trainer) and a virtual reality simulator (LAPMentor™). Participants' stress responses were examined through heart rate variability (HRV), saliva cortisol, and the State Trait Anxiety Inventory-6 (STAI-6). The correlation between previous laparoscopic experiences and stress response measurements was explored.

RESULTS

Twenty-four surgical trainees were included in the study. Compared to resting conditions, stress measures were significantly higher during simulation-training activity (the D-box (SDNN = 58.5 ± 23.4; LF/HF-ratio = 4.58 ± 2.71; STAI-6 = 12.3 ± 3.9, P < 0.05), the P.O.P trainer (SDNN = 55.7 ± 7.4; RMSSD = 32.4 ± 17.1; STAI-6 = 12.1 ± 3.9, P < 0.05), and the LAPMentor™ (SDNN = 59.1 ± 18.5; RMSSD = 34.3 ± 19.7; LF/HF-ratio = 4.71 ± 2.64; STAI-6 = 9.9 ± 3.0, P < 0.05)). A significant difference in endocrine stress response was seen for the simulation-training activity on the D-box (saliva cortisol: 3.48 ± 1.92, P < 0.05), however, no significant differences were observed between the three simulators. A moderate correlation between surgical experience, and physiologic and endocrine stress response was observed (RMSSD: r=-0.31; SDNN: r=-0.42; SD2/SD1 ratio: r = 0.29; Saliva cortisol: r = 0.46; P < 0.05), and a negative moderate correlation to self-reported stress (r=-0.42, P < 0.05).

CONCLUSION

Trainees have a significant higher stress response during simulation-training compared to resting conditions, with no difference in stress response between the simulators. Significantly higher cortisol levels were observed on the D-box, indicating that simulation tasks with time pressure stress participants the most. Trainees with more surgical experience are associated with higher physiologic stress measures, but lower self-reported stress scores, demonstrating that surgical experience influences trainees' stress response during simulation-based skills training courses.

Factors Affecting Perioperative Nurse Adherence to Ergonomic Safety Measures

AORN has identified safety risks unique to the perioperative setting and has developed ergonomic safety measures to help prevent musculoskeletal injuries and disorders. Little is known about adherence to these safety measures or the perceived barriers and facilitators to adherence. This study used a cross-sectional survey to determine the prevalence of pain and occurrence of musculoskeletal injuries and disorders. We asked perioperative staff members about their perceived barriers and facilitators to adherence with safety measures. A total of 155 perioperative nurses in one health system completed the online survey (55% response rate). Most (93%) had experienced at least one musculoskeletal injury or disorder or related pain. Years worked as a perioperative nurse and having neck pain were associated with safety measure adherence. The most reported barrier to safety measure adherence was inadequate staffing. Study findings highlight the need for increased attention to the physical workload demands in the perioperative setting.

Altered connectivity in the cognitive control-related prefrontal cortex in Parkinson's disease with rapid eye movement sleep behavior disorder

Rapid eye movement sleep behavior disorder (RBD) frequently occurs in Parkinson's disease (PD), however, the exact pathophysiological mechanism is not clear. The prefrontal cortex (PFC), especially ventrolateral prefrontal cortex (VLPFC), dorsolateral prefrontal cortex (DLPFC), and inferior frontal gyrus (IFG) which may play roles by regulating cognitive control processes. The purpose of this study was to investigate whether there is abnormal functional connectivity (FC) maps and volume changes in PD with RBD(PD-RBD). We recruited 20 PD-RBD, 20 PD without RBD (PD-nRBD), and 20 normal controls (NC). We utilized resting-state functional Magnetic Resonance Imaging (rs-MRI) to explore FC changes based on regions of interest (VLPFC, DLPFC, and IFG), and used voxel-based morphology technology to analyze whole-brain volumes by 3D-T1 structural MRI. Except the REM sleep behavioral disorders questionnaire (RBDSQ), the PD-RBD showed lower visuospatial/executive and attention scores than the NC group. The RBDSQ scores were significantly positively correlated with zFC of right DLPFC to bilateral posterior cingulate cortex (PCC) (P = 0.0362, R = 0.4708, AlphaSim corrected) and also significantly positively correlated with zFC of left VLPFC to right inferior temporal (P = 0.0157, R = 0.5323, AlphaSim corrected) in PD-RBD group. Furthermore, abnormal correlations with zFC values were also found in some cognitive subdomains in PD-RBD group. The study may suggest that in PD-RBD patients, the presence of RBD may be related to the abnormal FC of VLPFC and DLPFC, meanwhile, the abnormal FC of DLPFC and IFG may be related to the mechanisms of cognitive impairment.

Handoffs and the challenges to implementing teamwork training in the perioperative environment

Perioperative handoffs are high-risk events for miscommunications and poor care coordination, which cause patient harm. Extensive research and several interventions have sought to overcome the challenges to perioperative handoff quality and safety, but few efforts have focused on teamwork training. Evidence shows that team training decreases surgical morbidity and mortality, and there remains a significant opportunity to implement teamwork training in the perioperative environment. Current perioperative handoff interventions face significant difficulty with adherence which raises concerns about the sustainability of their impact. In this perspective article, we explain why teamwork is critical to safe and reliable perioperative handoffs and discuss implementation challenges to the five core components of teamwork training programs in the perioperative environment. We outline evidence-based best practices imperative for training success and acknowledge the obstacles to implementing those best practices. Explicitly identifying and discussing these obstacles is critical to designing and implementing teamwork training programs fit for the perioperative environment. Teamwork training will equip providers with the foundational teamwork competencies needed to effectively participate in handoffs and utilize handoff interventions. This will improve team effectiveness, adherence to current perioperative handoff interventions, and ultimately, patient safety.

Design guidelines for limiting and eliminating virtual reality-induced symptoms and effects at work: a comprehensive, factor-oriented review

Virtual reality (VR) can induce side effects known as virtual reality-induced symptoms and effects (VRISE). To address this concern, we identify a literature-based listing of these factors thought to influence VRISE with a focus on office work use. Using those, we recommend guidelines for VRISE amelioration intended for virtual environment creators and users. We identify five VRISE risks, focusing on short-term symptoms with their short-term effects. Three overall factor categories are considered: individual, hardware, and software. Over 90 factors may influence VRISE frequency and severity. We identify guidelines for each factor to help reduce VR side effects. To better reflect our confidence in those guidelines, we graded each with a level of evidence rating. Common factors occasionally influence different forms of VRISE. This can lead to confusion in the literature. General guidelines for using VR at work involve worker adaptation, such as limiting immersion times to between 20 and 30 min. These regimens involve taking regular breaks. Extra care is required for workers with special needs, neurodiversity, and gerontechnological concerns. In addition to following our guidelines, stakeholders should be aware that current head-mounted displays and virtual environments can continue to induce VRISE. While no single existing method fully alleviates VRISE, workers' health and safety must be monitored and safeguarded when VR is used at work.

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.

Measurement and Management of Cognitive Load in Surgical Education: A Narrative Review

BACKGROUND

Cognitive load should be considered in designing optimal educational programs in health care. Despite the highly demanding nature of surgery and surgical education, a consensus on how to manage cognitive load has not been established. The objective of this review is to map out how recent surgical education research incorporates cognitive load.

METHODS

A literature search was performed using keywords related to cognitive load and digital education up to December 2021. Studies published in English relevant to assessment and management of cognitive load in surgical education were included. Terminology, assessment tools, association with different surgical procedures and training modalities, and programs considering cognitive load were reported.

RESULTS

We identified several terms to describe cognitive load. Cognitive load was measured by subjective, self-reported questionnaires and by objective measurements, such as physiological parameters or estimated by reaction time to secondary tasks. Subjective measurements reported cognitive load in one or multiple dimensions. Correlations between subjective and objective measurements were shown in multiple studies. Overall, higher cognitive load was observed in training for more complex tasks and high-fidelity modalities, and among less experienced trainees. Cognitive load theory has been lately incorporated into designing teaching programs.

CONCLUSIONS

A broad range of terms and assessment tools were identified for cognitive load. To maximize the learning outcome, management of cognitive load is necessary in surgical education. This review summarizes the current knowledge in assessment and management of cognitive load in surgical education and provides suggestions for future studies.

Electroencephalography can provide advance warning of technical errors during laparoscopic surgery

BACKGROUND

Intraoperative adverse events lead to patient injury and death, and are increasing. Early warning systems (EWSs) have been used to detect patient deterioration and save lives. However, few studies have used EWSs to monitor surgical performance and caution about imminent technical errors. Previous (non-surgical) research has investigated neural activity to predict future motor errors using electroencephalography (EEG). The present proof-of-concept cohort study investigates whether EEG could predict technical errors in surgery.

METHODS

In a large academic hospital, three surgical fellows performed 12 elective laparoscopic general surgeries. Audiovisual data of the operating room and the surgeon's neural activity were recorded. Technical errors and epochs of good surgical performance were coded into events. Neural activity was observed 40 s prior and 10 s after errors and good events to determine how far in advance errors were detected. A hierarchical regression model was used to account for possible clustering within surgeons. This prospective, proof-of-concept, cohort study was conducted from July to November 2021, with a pilot period from February to March 2020 used to optimize the technique of data capture and included participants who were blinded from study hypotheses.

RESULTS

Forty-five technical errors, mainly due to too little force or distance (n = 39), and 27 good surgical events were coded during grasping and dissection. Neural activity representing error monitoring (p = .008) and motor uncertainty (p = .034) was detected 17 s prior to errors, but not prior to good surgical performance.

CONCLUSIONS

These results show that distinct neural signatures are predictive of technical error in laparoscopic surgery. If replicated with low false-alarm rates, an EEG-based EWS of technical errors could be used to improve individualized surgical training by flagging imminent unsafe actions-before errors occur and cause patient harm.

Simulation-based skills training: a qualitative interview study exploring surgical trainees' experience of stress

INTRODUCTION

Stress can affect the ability to acquire technical skills. Simulation-based training (SBT) courses allow surgical trainees to train their technical skills away from stressful clinical environments. Trainees' subjective experiences of stress during SBT courses on laparoscopic surgery remains understudied. Here, we explored the subjective stress experiences of surgical trainees during mandatory laparoscopic SBT courses. We aimed to obtain a broader understanding of which factors of the simulation training the trainees perceived as eliciting stress.

METHODS

A qualitative study with semistructured individual interviews was undertaken to explore trainees' subjective experiences of stress. Twenty surgical trainees participated while attending courses at a national training center for advanced laparoscopic surgery. Questions explored trainees' stress experiences during the SBT courses with a focus on perceived stressors related to laparoscopic simulation training on two box-trainers and one virtual reality simulator. Interview data were analyzed using inductive, qualitative content analysis methods to identify codes, categories, and themes.

RESULTS

Findings indicated that trainees have a variety of stress experiences during laparoscopic SBT. Three main themes were identified to be related to stress experiences: simulation task requirements, psychomotor skill levels and internal pressures, with subcategories such as task difficulty and time requirements, unrealistic haptic feedback and realism of graphics, inconsistent and poor technical performance, and self-imposed pressures and socio-evaluative threats.

CONCLUSIONS

Insights into surgical trainees' experience of stress during laparoscopic SBT courses showed that some stress experiences were directly related to simulation training, while others were of psychological nature. The technical and efficiency requirements of simulation tasks elicited stress experiences among trainees with less laparoscopic experience and lower levels of psychomotor skills. Self-imposed pressures played an integral part in how trainees mobilized and performed during the courses, suggesting that levels of stress might enhance laparoscopic simulation performance. For course facilitators aiming at optimizing future laparoscopic SBT courses, attending to the realism, providing clarity about learning objectives, and having awareness of individual differences among trainees' technical level when designing the simulation tasks, would be beneficial. Equally important to the laparoscopic SBT is to create a psychological safe learning space in order to reduce the internal pressures of trainees.

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.

Pulling the Trigger: The Effect of a 5-Minute Slow Diaphragmatic Breathing Intervention on Psychophysiological Stress Responses and Pressurized Pistol Shooting Performance

This study examined the effect of slow diaphragmatic breathing on psychophysiological stress responses and pressurized performance. Sixty-seven participants (40 female; Mage = 20.17 ± 2.77 years) were randomly assigned to either a diaphragmatic-breathing, paced-breathing, or control group. Participants completed a nonpressurized shooting task and then received instructions about a pressurized version. Next, the diaphragmatic group was told to breathe at 6 breaths/min, the paced group at 12 breaths/min, and the control group received no instructions. Following a 5-min intervention period, participants completed the pressurized task while performance was assessed. Psychophysiological stress responses (e.g., cognitive anxiety, heart rate) were recorded throughout. Results revealed that diaphragmatic breathing had mixed effects on stress responses, with some unaffected (e.g., heart rate) and others reduced (e.g., cognitive anxiety), and little effect on performance. Findings suggested that slow diaphragmatic breathing might not aid pressurized performance but could benefit psychological stress responses.

Patient, Procedure, People (PPP): recognising and responding to intraoperative critical events

Intraoperative critical events are rarely experienced by individual surgeons but are commonly experienced at a workforce level. Finding unfamiliar or unexpected pathology, anatomy, haemorrhage or an iatrogenic organ or structure injury cannot be completely eliminated in the complex surgical environment. It is vital that an appropriate, safe response to these infrequent events takes place to prevent possible further harm to patients. This paper introduces 'Patient, Procedure, People', a tool adapted from aviation threat and error management (TEM) training. It allows surgical teams to improve situational awareness (SA), communicate effectively, flatten team hierarchy gradients and improve decision-making before responding to critical events. We review factors contributing to poor decision-making, with resulting errors. These include loss of SA (tunnel vision), acute stress reactions (fight-flight or freeze-hide) and limbic hijacking (surprise and startle events). Events may cause workload to increase beyond cognitive capacity, further exacerbating the situation. After completing initial actions to achieve a temporary 'place of safety', surgical teams may use the tool to effectively manage threat or mitigate error. Aviation is a high-reliability organisation that has pioneered human factors research and training. Airline pilots undergo regular simulated emergencies assessment, including mandatory human factors assessment. Although the complexities of the operating theatre do not currently lend themselves to high-fidelity simulation as in aviation, valuable transferrable lessons can be learnt from aviation's approach to TEM.

A neurotechnological aid for semi-autonomous suction in robotic-assisted surgery

Adoption of robotic-assisted surgery has steadily increased as it improves the surgeon’s dexterity and visualization. Despite these advantages, the success of a robotic procedure is highly dependent on the availability of a proficient surgical assistant that can collaborate with the surgeon. With the introduction of novel medical devices, the surgeon has taken over some of the surgical assistant’s tasks to increase their independence. This, however, has also resulted in surgeons experiencing higher levels of cognitive demands that can lead to reduced performance. In this work, we proposed a neurotechnology-based semi-autonomous assistant to release the main surgeon of the additional cognitive demands of a critical support task: blood suction. To create a more synergistic collaboration between the surgeon and the robotic assistant, a real-time cognitive workload assessment system based on EEG signals and eye-tracking was introduced. A computational experiment demonstrates that cognitive workload can be effectively detected with an 80% accuracy. Then, we show how the surgical performance can be improved by using the neurotechnological autonomous assistant as a close feedback loop to prevent states of high cognitive demands. Our findings highlight the potential of utilizing real-time cognitive workload assessments to improve the collaboration between an autonomous algorithm and the surgeon.