Tham Sarah, Koh Frederick H, Ladlad Jasmine, Chue Koy-Min, Lin Cui-Li, Teo Eng-Kiong, Foo Fung-Joon
Department of General Surgery, Sengkang General Hospital, SingHealth Services, Singapore.
Colorectal Service, Department of General Surgery, Sengkang General Hospital, SingHealth Services, Singapore.
Ann Coloproctol. 2023 Oct;39(5):385-394. doi: 10.3393/ac.2022.00878.0125. Epub 2023 Mar 10.
The development of deep learning systems in artificial intelligence (AI) has enabled advances in endoscopy, and AI-aided colonoscopy has recently been ushered into clinical practice as a clinical decision-support tool. This has enabled real-time AI-aided detection of polyps with a higher sensitivity than the average endoscopist, and evidence to support its use has been promising thus far. This review article provides a summary of currently published data relating to AI-aided colonoscopy, discusses current clinical applications, and introduces ongoing research directions. We also explore endoscopists' perceptions and attitudes toward the use of this technology, and discuss factors influencing its uptake in clinical practice.
人工智能(AI)中深度学习系统的发展推动了内窥镜检查技术的进步,最近,人工智能辅助结肠镜检查作为一种临床决策支持工具已被引入临床实践。这使得人工智能能够实时辅助检测息肉,其灵敏度高于普通内镜医师,而且到目前为止,支持其应用的证据很有前景。这篇综述文章总结了目前已发表的与人工智能辅助结肠镜检查相关的数据,讨论了当前的临床应用,并介绍了正在进行的研究方向。我们还探讨了内镜医师对该技术应用的看法和态度,并讨论了影响其在临床实践中应用的因素。