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

Author:

Zhang Lihui123,Yao Liwen123,Lu Zihua123,Yu Honggang123

Affiliation:

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

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

3. Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision Renmin Hospital of Wuhan University Wuhan China

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.

Publisher

Wiley

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging

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