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筛查性上消化道内镜检查中的质量控制现状及人工智能的新兴作用。

Current status of quality control in screening esophagogastroduodenoscopy and the emerging role of artificial intelligence.

机构信息

Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.

Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China.

出版信息

Dig Endosc. 2024 Jan;36(1):5-15. doi: 10.1111/den.14649. Epub 2023 Sep 8.

Abstract

Esophagogastroduodenoscopy (EGD) screening is being implemented in countries with a high incidence of upper gastrointestinal (UGI) cancer. High-quality EGD screening ensures the yield of early diagnosis and prevents suffering from advanced UGI cancer and minimal operational-related discomfort. However, performance varied dramatically among endoscopists, and quality control for EGD screening remains suboptimal. Guidelines have recommended potential measures for endoscopy quality improvement and research has been conducted for evidence. Moreover, artificial intelligence offers a promising solution for computer-aided diagnosis and quality control during EGD examinations. In this review, we summarized the key points for quality assurance in EGD screening based on current guidelines and evidence. We also outline the latest evidence, limitations, and future prospects of the emerging role of artificial intelligence in EGD quality control, aiming to provide a foundation for improving the quality of EGD screening.

摘要

食管胃十二指肠镜(EGD)筛查正在高发上消化道(UGI)癌的国家中实施。高质量的 EGD 筛查可确保早期诊断的检出率,防止进展期 UGI 癌和最小化手术相关不适。然而,内镜医生之间的表现差异巨大,EGD 筛查的质量控制仍不理想。指南建议了内镜质量改进的潜在措施,研究也为此提供了证据。此外,人工智能为 EGD 检查中的计算机辅助诊断和质量控制提供了有前景的解决方案。在这篇综述中,我们根据当前的指南和证据,总结了 EGD 筛查质量保证的要点。我们还概述了人工智能在 EGD 质量控制中新兴作用的最新证据、局限性和未来前景,旨在为提高 EGD 筛查质量提供基础。

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