人工智能辅助结肠镜在现实世界的临床实践:一个系统的审查和元分析
Mike Tzuhen Wei1, Shmuel Fay2,3, Diana Yung4
1Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California, USA.
Clinical and translational gastroenterology
|December 26, 2023
概括
使用人工智能 (AI) 的计算机辅助检测 (CADe) 在现实世界结肠镜研究中略有改善了腺瘤检测率 (ADR). 需要进一步的研究来理解AI.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 具有降低结肠镜检查质量差异的潜力.
- 在受控试验中,计算机辅助检测 (CADe) 已经证明了腺瘤检测率 (ADR) 和结肠镜检测腺瘤 (APC) 的改善.
- 需要现实世界的数据来评估CADe在临床实践中的影响.
研究的目的:
- 为了评估CADe在现实世界结肠镜设置中的有效性.
- 分析CADe对腺瘤检测率 (ADR) 和结肠镜检测腺瘤 (APC) 的影响.
主要方法:
- 在 MEDLINE,EMBASE 和 Web of Science 中系统搜索非随机的真实世界研究.
- 进行了随机效应元分析,以综合ADR和APC的数据.
- 在PROSPERO注册的研究 (CRD42023424037).
主要成果:
- 包括12项涉及1314例病例的研究.
- 总体而言,ADR与CADe (36.3%) 相比没有 (35.8%),RR 1.13 (95% CI 1.01-1.28) 显著更高.
- 这种ADR改善是由前性研究驱动的;后性研究显示没有显著差异. 与CADe相比,APC没有显著改善.
结论:
- 现实世界的数据表明,ADR与CADe的适度增加,主要来自前性研究.
- 这些发现与一些随机对照试验形成鲜明对比,突出了进一步调查的必要性.
- 未来的研究应该探索人工智能在结肠镜检查中的实际影响以及人与人工智能相互作用的动态.
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