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巴雷特食管中的人工智能

'Artificial intelligence in Barrett's Esophagus'.

作者信息

Hamade Nour, Sharma Prateek

机构信息

Department of Gastroenterology and Hepatology, School of Medicine, Indiana University, Indianapolis, IN, USA.

Division of Gastroenterology and Hepatology, Veteran Affairs Medical Center, 4801 E. Linwood Boulevard, Kansas City, MO 6412, USA.

出版信息

Ther Adv Gastrointest Endosc. 2021 Oct 12;14:26317745211049964. doi: 10.1177/26317745211049964. eCollection 2021 Jan-Dec.

Abstract

Despite advances in endoscopic imaging modalities, there are still significant miss rates of dysplasia and cancer in Barrett's esophagus. Artificial intelligence (AI) is a promising tool that may potentially be a useful adjunct to the endoscopist in detecting subtle dysplasia and cancer. Studies have shown AI systems have a sensitivity of more than 90% and specificity of more than 80% in detecting Barrett's related dysplasia and cancer. Beyond visual detection and diagnosis, AI may also prove to be useful in quality control, streamlining clinical work, documentation, and lessening the administrative load on physicians. Research in this area is advancing at a rapid rate, and as the field expands, regulations and guidelines will need to be put into place to better regulate the growth and use of AI. This review provides an overview of the present and future role of AI in Barrett's esophagus.

摘要

尽管内镜成像技术取得了进展,但巴雷特食管发育异常和癌症的漏诊率仍然很高。人工智能(AI)是一种很有前景的工具,可能会成为内镜医师检测细微发育异常和癌症的有用辅助手段。研究表明,人工智能系统在检测巴雷特相关发育异常和癌症方面的敏感性超过90%,特异性超过80%。除了视觉检测和诊断外,人工智能在质量控制、简化临床工作、文档记录以及减轻医生的管理负担方面也可能被证明是有用的。该领域的研究正在迅速推进,随着该领域的扩大,需要制定法规和指南,以更好地规范人工智能的发展和应用。本综述概述了人工智能在巴雷特食管中的当前和未来作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bd2/8521738/f34758c927c5/10.1177_26317745211049964-fig1.jpg

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