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人工智能在早期胃癌、萎缩性胃炎及幽门螺杆菌感染的内镜诊断中的应用。

Application of artificial intelligence in the endoscopic diagnosis of early gastric cancer, atrophic gastritis, and Helicobacter pylori infection.

作者信息

Luo Qi, Yang Hang, Hu Bing

机构信息

Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.

出版信息

J Dig Dis. 2022 Dec;23(12):666-674. doi: 10.1111/1751-2980.13154. Epub 2023 Feb 21.

Abstract

Gastric cancer (GC) is one of the most serious health problems worldwide. Chronic atrophic gastritis (CAG) is most commonly caused by Helicobacter pylori (H. pylori) infection. Currently, endoscopic detection of early gastric cancer (EGC) and CAG remains challenging for endoscopists, and the diagnostic accuracy of H. pylori infection by endoscopy is approximately 70%. Artificial intelligence (AI) can assist endoscopic diagnosis including detection, prediction of depth of invasion, boundary delineation, and anatomical location of EGC, and has achievable diagnostic ability even comparable to experienced endoscopists. In this review we summarized various AI-assisted systems in the diagnosis of EGC, CAG, and H. pylori infection.

摘要

胃癌(GC)是全球最严重的健康问题之一。慢性萎缩性胃炎(CAG)最常见的病因是幽门螺杆菌(H. pylori)感染。目前,早期胃癌(EGC)和CAG的内镜检测对内镜医师来说仍然具有挑战性,并且通过内镜诊断H. pylori感染的准确性约为70%。人工智能(AI)可以辅助内镜诊断,包括EGC的检测、浸润深度预测、边界划定和解剖位置确定,甚至具有与经验丰富的内镜医师相当的可实现诊断能力。在本综述中,我们总结了各种用于EGC、CAG和H. pylori感染诊断的AI辅助系统。

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