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An artificial intelligence-enhanced coaching mode.

Ke Cheng1,2, Shangdi Wu1,2, Bing Peng1,2

  • 1Department of General Surgery, Division of Pancreatic Surgery, West China Hospital of Sichuan University, Chengdu, China.

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|June 23, 2025
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Summary
This summary is machine-generated.

Artificial intelligence (AI) offers a solution to enhance surgical coaching by automating video analysis for improved surgeon skills. This AI-driven program, SmartCoach, aims to overcome barriers in surgical education and improve patient outcomes.

Keywords:
artificial intelligencelaparoscopic pancreatoduodenectomysmart coachsurgical coaching

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Area of Science:

  • Surgical Education
  • Artificial Intelligence in Medicine
  • Computer Vision in Surgery

Background:

  • Surgical coaching enhances surgeon competencies through feedback, with video-based coaching proving effective for minimally invasive procedures.
  • Current limitations in surgical coaching include a lack of expert coaches and the intensive nature of video review.
  • Artificial intelligence (AI) and computer vision (CV) offer potential solutions for automated video analysis and scalable feedback in surgical education.

Purpose of the Study:

  • To introduce SmartCoach, an AI-assisted surgical coaching program for laparoscopic pancreatoduodenectomy (LPD).
  • To address challenges in surgical coaching by providing data-driven feedback and improving skill refinement.
  • To explore the potential of AI to enhance operative performance and patient outcomes in complex surgical procedures.

Main Methods:

  • Development of an AI-assisted surgical coaching program (SmartCoach) integrating intelligent visualization and post-operative debriefings.
  • Utilizing AI and computer vision for automated video analysis, identification of surgical steps, and intraoperative assessments.
  • Leveraging 5G communication technologies for enhanced scalability of the AI-driven coaching model.

Main Results:

  • Preliminary surveys indicated limited surgeon awareness of surgical coaching principles and AI's role in education.
  • Surgeons frequently use operative videos but face barriers of lacking expert feedback and inefficiency.
  • The AI-driven model promises real-time assessments and automated step identification to overcome these barriers.

Conclusions:

  • AI-based surgical coaching, exemplified by SmartCoach, has the potential to significantly improve operative performance and patient outcomes.
  • Addressing ethical, logistical, and cultural obstacles is crucial for the successful implementation of AI in surgical coaching.
  • AI integration in surgical coaching represents a transformative advancement, particularly for complex procedures with limited expert support.