Randomized Controlled Study on AI Intelligent Feedback System Combined with Simulated Endoscopic Training in Improving Gastroscopy Operation Skills

Corresponding author: Wang Xiaobing, 13936135056@163.com

DOI: 10.12201/bmr.202605.00104

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  Abstract: Objective: To investigate the effect difference between AI intelligent feedback system combined with simulated endoscopic training (group A) and feedback-free simulated training (group B) in improving gastroscopy operation skills. Methods: A single-center parallel-group randomized controlled trial design was adopted. Using block randomization (10 cases per block), 40 gastroenterology resident physicians receiving initial gastroscopy training were randomly divided into group A (n=20) and group B (n=20). Group A received real-time operation feedback from AI intelligent feedback system based on deep learning algorithm combined with traditional simulated endoscopic training, while group B received traditional feedback-free simulated endoscopic training. The training period was 4 weeks, 10 hours per week. The primary outcome indicator was the operation skill score based on the Global Endoscopic Activity Rating Scale (GEARS), and the secondary indicators included operation completion time, number of anatomical structure recognition errors, score of Cognitive Load Questionnaire (CLQ), and clinical practice assessment results after 3 months. Results: Prior to training, there was no significant difference in GEARS scores between the two groups (P>0.05). After training, Group A demonstrated superior skills in insertion techniques, observation ability, tissue exposure control, hemostasis management, emergency response, examination completeness, and overall evaluation scores compared to Group B, with statistically significant differences (P<0.05). Group A also showed shorter operation completion time, fewer anatomical structure recognition errors, and lower Cognitive Load Scale (CLQ) scores than Group B (P<0.05). Notably, Group A achieved higher pass rates in clinical practical assessments and exhibited significantly lower rates of virtual mucosal damage compared to Group B (P<0.05).Conclusion: The AI intelligent feedback system combined with simulated endoscopic training can significantly improve gastroscopy operation skills through real-time precise feedback mechanism, reduce cognitive load during learning, enhance assessment performance, and improve clinical operation safety.Key words: AI intelligent feedback system; simulated endoscopic training; gastroscopy operation; randomized controlled study; skill improvement

  Key words: AI intelligent feedback system; simulated endoscopic training; gastroscopy operation; randomized controlled study; skill improvement

  Submit time: 29 May 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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