胃肠病学实践的人工智能:修改后的德尔菲共识
Seth A Gross1, Aasma Shaukat1, Anita Afzali2
1Division of Gastroenterology and Hepatology, NYU Langone Health, New York, New York, USA.
The American journal of gastroenterology
|February 10, 2026
概括
人工智能 (AI) 在胃肠病学,肝病学和内镜学方面提供了显著的潜力. 这一共识为负责任的AI整合提供了建议,重点是增强临床专业知识,以改善患者护理.
科学领域:
- 胃肠病学 胃肠病学
- 肝病学 肝病学是一种肝病学.
- 内镜检查是指内镜检查.
- 人工智能的人工智能
背景情况:
- 美国胃肠病学学院召集专家评估AI在肠道,肝脏和内镜中的作用.
- 目标是制定基于共识的建议,以将AI纳入临床实践.
研究的目的:
- 评估人工智能 (AI) 在胃肠病学,肝病学和内镜学中的当前状态和未来方向.
- 为在临床实践中负责任地整合人工智能制定基于共识的建议.
主要方法:
- 一个由32名专家和12名行业合作伙伴组成的多学科工作组进行了文献审查.
- 一个经过修改的Delphi流程和电子投票被用来在声明草案上达成共识.
- 共识被定义为≥70%的同意,对非共识项目进行修订和重新投票.
主要成果:
- 开发了43个声明,其中93%的人迅速达成共识.
- 计算机辅助检测 (CADe) 在内镜中显示出希望,但现实世界的影响和长期结果需要进一步研究.
- 在实践管理,培训,IBD,肝病学和伦理学中的AI应用显示出潜力,强调验证,偏见减少和劳动力培训.
结论:
- 人工智能可以增强临床专业知识,提高胃肠道,肝脏和内镜护理的安全性,透明度和公平性.
- 人工智能采用的优先事项包括前性试验,数据共享,偏见缓解和劳动力培训.
- 值得信赖和具有临床影响力的AI整合需要专注于务实实施和多机构合作.
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