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人工智能在胃癌内镜诊断和治疗中的应用现状及展望。

Current status and future perspective of artificial intelligence applications in endoscopic diagnosis and management of gastric cancer.

机构信息

Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.

Foundation for Detection of Early Gastric Carcinoma, Tokyo, Japan.

出版信息

Dig Endosc. 2021 Jan;33(2):263-272. doi: 10.1111/den.13890. Epub 2020 Dec 27.

Abstract

Image recognition using artificial intelligence (AI) has progressed significantly due to innovative technologies such as machine learning and deep learning. In the field of gastric cancer (GC) management, research on AI-based diagnosis such as anatomical classification of endoscopic images, diagnosis of Helicobacter pylori infection, and detection and qualitative diagnosis of GC is being conducted, and an accuracy equivalent to that of physicians has been reported. It is expected that AI will soon be introduced in the field of endoscopic diagnosis and management of gastric cancer as a supportive tool for physicians, thus improving the quality of medical care.

摘要

由于机器学习和深度学习等创新技术的出现,人工智能(AI)在图像识别领域取得了显著进展。在胃癌(GC)管理领域,正在进行基于 AI 的诊断研究,如内镜图像的解剖分类、幽门螺杆菌感染的诊断以及 GC 的检测和定性诊断,并且已经报道了与医生相当的准确性。预计 AI 将很快作为医生的辅助工具引入胃癌的内镜诊断和管理领域,从而提高医疗质量。

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