医学
工作队
内窥镜检查
临床实习
任务(项目管理)
算法
计算机科学
人工智能
外科
物理疗法
管理
公共行政
政治学
经济
作者
Sravanthi Parasa,Alessandro Repici,Tyler M. Berzin,Cadman L. Leggett,Seth A. Gross,Prateek Sharma
标识
DOI:10.1016/j.gie.2022.10.016
摘要
In the past few years, we have seen a surge in the development of relevant artificial intelligence (AI) algorithms addressing a variety of needs in GI endoscopy. To accept AI algorithms into clinical practice, their effectiveness, clinical value, and reliability need to be rigorously assessed. In this article, we provide a guiding framework for all stakeholders in the endoscopy AI ecosystem regarding the standards, metrics, and evaluation methods for emerging and existing AI applications to aid in their clinical adoption and implementation. We also provide guidance and best practices for evaluation of AI technologies as they mature in the endoscopy space. Note, this is a living document; periodic updates will be published as progress is made and applications evolve in the field of AI in endoscopy.
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