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AI智能反馈系统联合模拟内镜培训与无反馈模拟培训在胃镜操作技能提升中的随机对照研究

通讯作者: 王小兵, 13936135056@163.com
DOI:10.12201/bmr.202605.00104
声明:预印本系统所发表的论文仅用于最新科研成果的交流与共享,未经同行评议,因此不建议直接应用于指导临床实践。

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
  • 摘要:目的:比较A组AI智能反馈系统联合模拟内镜培训与B组无反馈模拟内镜培训训练消化科规培医师胃镜操作技能的效果。方法:以单中心平行分组随机对照试验为设计形式,经区组随机法(每10名受试者为1个区组)按照数字表随机分配纳入首次胃镜培训的消化科规培医师共40名(1:1分入A、B两组),A组(n=20)使用深度学习算法实现的AI智能反馈系统配合实时操作反馈以及传统的模拟内镜培训,B组(n=20)单纯使用传统无反馈的模拟内镜培训,培训周期为4周,每周10学时。主要结局指标为胃镜操作技能(Global Evaluative Assessment of Robotic Skills,GEARS)评分,次要结局指标包括操作完成时间、解剖结构识别错误次数、认知负荷量表(Cognitive Load Questionnaire,CLQ)评分、培训结束后3个月的临床实操考核成绩。结果:培训前2组GEARS评分比较差异无统计学意义(P>0.05);培训后A组插入技巧、观察能力、组织暴露、止血控制、应急处理、检查完整性、整体评分均高于B组(P<0.05);A组操作完成时间、解剖结构识别错误次数、CLQ量表评分均低于B组(P<0.05);A组临床实操考核通过率高于B组,虚拟黏膜损伤率低于B组(P<0.05)。结论:AI智能反馈系统联合模拟内镜培训应用实时精准的反馈机制能够有效地提高学员胃镜操作技能,降低学习过程中的认知负荷,考核成绩更高,临床操作更安全。关键词:AI智能反馈系统;模拟内镜培训;胃镜操作;随机对照研究;技能提升

    关键词: AI智能反馈系统模拟内镜培训胃镜操作随机对照研究技能提升

     

    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

    提交时间:2026-05-29

    版权声明:作者本人独立拥有该论文的版权,预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
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  • 序号 提交日期 编号 操作
    1 2025-12-09

    10.12201/bmr.202605.00104V1

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作者:杜昊澎, 吴子祥, 王小兵. AI智能反馈系统联合模拟内镜培训与无反馈模拟培训在胃镜操作技能提升中的随机对照研究. 2026. biomedRxiv.202605.00104

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