Educational value of a novel telestration device for surgical coaching-a randomized controlled trial.

INTRODUCTION: Communication is fundamental to effective surgical coaching. This can be challenging for training during image-guided procedures where coaches and trainees need to articulate technical details on a monitor. Telestration devices that annotate on monitors remotely could potentially overcome these limitations and enhance the coaching experience. This study aims to evaluate the value of a novel telestration device in surgical coaching. METHODS: A randomized-controlled trial was designed. All participants watched a video demonstrating the task followed by a baseline performance assessment and randomization into either control group (conventional verbal coaching without telestration) or telestration group (verbal coaching with telestration). Coaching for a simulated laparoscopic small bowel anastomosis on a dry lab model was done by a faculty surgeon. Following the coaching session, participants underwent a post-coaching performance assessment of the same task. Assessments were recorded and rated by blinded reviewers using a modified Global Rating Scale of the Objective Structured Assessment of Technical Skills (OSATS). Coaching sessions were also recorded and compared in terms of mentoring moments; guidance misinterpretations, questions/clarifications by trainees, and task completion time. A 5-point Likert scale was administered to obtain feedback. RESULTS: Twenty-four residents participated (control group 13, telestration group 11). Improvements in some elements of the OSATS scale were noted in the Telestration arm but there was no statistical significance in the overall score between the two groups. Mentoring moments were more in the telestration Group. Amongst the telestration Group, 55% felt comfortable that they could perform this task independently, compared to only 8% amongst the control group and 82% would recommend the use of telestration tools here. CONCLUSION: There is demonstrated educational value of this novel telestration device mainly in the non-technical aspects of the interaction by enhancing the coaching experience with improvement in communication and greater mentoring moments between coach and trainee.

Training for excellence: using a multimodal videoconferencing platform to coach surgeons and improve intraoperative performance.

INTRODUCTION: Continuing Professional Development opportunities for lifelong learning are fundamental to the acquisition of surgical expertise. However, few opportunities exist for longitudinal and structured learning to support the educational needs of surgeons in practice. While peer-to-peer coaching has been proposed as a potential solution, there remains significant logistical constraints and a lack of evidence to support its effectiveness. The purpose of this study is to determine whether the use of remote videoconferencing for video-based coaching improves operative performance. METHODS: Early career surgeon mentees participated in a remote coaching intervention with a surgeon coach of their choice and using a virtual telestration platform (Zoom Video Communications, San Jose, CA). Feedback was articulated through annotating videos. The coach evaluated mentee performance using a modified Intraoperative Performance Assessment Tool (IPAT). Participants completed a 5-point Likert scale on the educational value of the coaching program. RESULTS: Eight surgeons were enrolled in the study, six of whom completed a total of two coaching sessions (baseline, 6-month). Subspecialties included endocrine, hepatopancreatobiliary, and surgical oncology. Mean age of participants was 39 (SD 3.3), with mean 5 (SD 4.1) years in independent practice. Total IPAT scores increased significantly from the first session (mean 47.0, SD 1.9) to the second session (mean 51.8, SD 2.1), p = 0.03. Sub-category analysis showed a significant improvement in the Advanced Cognitive Skills domain with a mean of 33.2 (SD 2.5) versus a mean of 37.0 (SD 2.4), p < 0.01. There was no improvement in the psychomotor skills category. Participants agreed or strongly agreed that the coaching programs can improve surgical performance and decision-making (coaches 85%; mentees 100%). CONCLUSION: Remote surgical coaching is feasible and has educational value using ubiquitous commercially available virtual platforms. Logistical issues with scheduling and finding cases aligned with learning objectives continue to challenge program adoption and widespread dissemination.

Validation of an artificial intelligence platform for the guidance of safe laparoscopic cholecystectomy.

BACKGROUND: Many surgical adverse events, such as bile duct injuries during laparoscopic cholecystectomy (LC), occur due to errors in visual perception and judgment. Artificial intelligence (AI) can potentially improve the quality and safety of surgery, such as through real-time intraoperative decision support. GoNoGoNet is a novel AI model capable of identifying safe ("Go") and dangerous ("No-Go") zones of dissection on surgical videos of LC. Yet, it is unknown how GoNoGoNet performs in comparison to expert surgeons. This study aims to evaluate the GoNoGoNet's ability to identify Go and No-Go zones compared to an external panel of expert surgeons. METHODS: A panel of high-volume surgeons from the SAGES Safe Cholecystectomy Task Force was recruited to draw free-hand annotations on frames of prospectively collected videos of LC to identify the Go and No-Go zones. Expert consensus on the location of Go and No-Go zones was established using Visual Concordance Test pixel agreement. Identification of Go and No-Go zones by GoNoGoNet was compared to expert-derived consensus using mean F1 Dice Score, and pixel accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). RESULTS: A total of 47 frames from 25 LC videos, procured from 3 countries and 9 surgeons, were annotated simultaneously by an expert panel of 6 surgeons and GoNoGoNet. Mean (± standard deviation) F1 Dice score were 0.58 (0.22) and 0.80 (0.12) for Go and No-Go zones, respectively. Mean (± standard deviation) accuracy, sensitivity, specificity, PPV and NPV for the Go zones were 0.92 (0.05), 0.52 (0.24), 0.97 (0.03), 0.70 (0.21), and 0.94 (0.04) respectively. For No-Go zones, these metrics were 0.92 (0.05), 0.80 (0.17), 0.95 (0.04), 0.84 (0.13) and 0.95 (0.05), respectively. CONCLUSIONS: AI can be used to identify safe and dangerous zones of dissection within the surgical field, with high specificity/PPV for Go zones and high sensitivity/NPV for No-Go zones. Overall, model prediction was better for No-Go zones compared to Go zones. This technology may eventually be used to provide real-time guidance and minimize the risk of adverse events.