人工智能辅助结肠镜对胃肠病学学员表现的影响:一个务实的随机对照试验
Patrick W Chang1, Denis D Nguyen1, Niwen Kong2
1Division of Gastroenterology, Department of Internal Medicine, University of Southern California Keck School of Medicine, Los Angeles, California, USA.
Gastrointestinal endoscopy
|September 29, 2025
概括
人工智能辅助结肠镜显著改善了胃肠病学学员右侧腺瘤检测率. 虽然整体腺瘤检测率相似,但人工智能显示了改善结直肠癌查质量的前景.
科学领域:
- 胃肠病学 胃肠病学
- 医学教育 医学教育
- 人工智能在医学中的应用
背景情况:
- 结肠镜错误率,特别是右侧,突出了培训不足.
- 人工智能辅助结肠镜在实习生环境中的影响需要定义.
研究的目的:
- 评估人工智能辅助结肠镜对学员表现的影响.
- 评估人工智能在改善胃肠道病学 (GE) 学者中的腺瘤检测率 (ADR) 中的作用.
主要方法:
- 一项随机对照试验将GE研究员分配到AI增强或常规结肠镜 (CC) 房间.
- 腺瘤检测率 (ADR),右侧ADR (RADR) 和左侧ADR (LADR) 是主要结局.
- 从2023年3月到10月收集的数据包括1045次结肠镜检查.
主要成果:
- 总体而言,AI (40.5%) 和CC (35.0%) 的ADR是可比的.
- 人工智能显著增加了实习人员的RADR (24.1%与16.5%对比),特别是早期职业生涯的研究员.
- 没有观察到人工智能程序或等待时间的显著差异.
结论:
- 人工智能辅助结肠镜在GE学员中增强了RADR,解决了结肠直肠癌查中的关键差距.
- 人工智能为标准化质量指标和提高学员检测技能提供了一个潜在的工具.
- 进一步的研究可以探索AI在优化结肠镜训练和性能方面的作用.
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