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AI-Generated Video Feedback to Improve Technical Skills in Coronary Artery Bypass Grafting
Sponsor: China National Center for Cardiovascular Diseases
Summary
This study aims to evaluate whether targeted video feedback generated by an artificial intelligence (AI)-based surgical performance assessment model can support improvement in technical skills among cardiac surgeons performing coronary artery bypass grafting (CABG). This is a single-group, self-controlled, pre-post interventional study. Participating surgeons will submit a baseline CABG surgical video, which will be assessed by both an AI model and blinded human expert raters using standardized scoring criteria. Based on the AI assessment, surgeons will receive personalized video feedback highlighting operative steps associated with lower technical performance. After a one-month self-directed review period, a follow-up CABG surgical video will be submitted and evaluated using the same process. Changes in human-rated technical skill scores between baseline and follow-up will be used to assess the potential educational impact of AI-generated video feedback.
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
100
Start Date
2026-01-31
Completion Date
2026-04-30
Last Updated
2026-02-10
Healthy Volunteers
Yes
Interventions
AI-Guided Video Feedback Intervention
Participants in this study will receive a personalized educational intervention consisting of AI-generated video feedback based on their baseline coronary artery bypass grafting (CABG) surgical videos. The AI model analyzes surgical performance and identifies specific operative steps with lower technical skill scores. Curated video clips highlighting these areas are provided to the surgeons for self-review and reflection. No additional formal training or coaching is given during the one-month intervention period, after which a follow-up surgical video is submitted for re-evaluation.
Locations (1)
Fuwai Hospital
Beijing, Beijing Municipality, China