Publication Name	World Journal of Gastrointestinal Endoscopy
Manuscript ID	124991
DOI	10.4253/wjge.124991
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Artificial intelligence in chronic atrophic gastritis: A comprehensive review
Manuscript Source	Invited Manuscript
All Author List	Nuo-Ya Zhou, Qi Luo, Wei Liu, Xiang-Lei Yuan, Huan Jiang and Bing Hu
Funding Agency and Grant Number	Funding Agency Grant Number Natural Science Foundation of Sichuan Province No. 2026YFHZ0074
Corresponding Author	Bing Hu, Department of Gastroenterology and Hepatology/Medical Engineering Integration Laboratory of Digestive Endoscopy, West China Hospital, Sichuan University, No.37, Guo Xue Alley, Wuhou district, Chengdu 610041, Sichuan Province, China. hubing@wchscu.edu.cn
Key Words	Chronic atrophic gastritis; Artificial intelligence; Helicobacter pylori; Computer-aided diagnosis; Gastric precancerous conditions; Large language model
Core Tip	Chronic atrophic gastritis (CAG) is a key precancerous condition associated with gastric cancer, necessitating accurate diagnosis and effective management. Artificial intelligence (AI) has emerged as a promising tool in digestive diseases, offering novel solutions for intelligent CAG care. Early evidence suggests that AI may improve diagnostic accuracy and assist in risk stratification. However, its impact on clinician workload and patient outcomes remains to be demonstrated, and no AI system described here is currently ready for guideline-based clinical use. This review synthesizes AI research in CAG across five domains: Assisted diagnosis, pathological interpretation, Helicobacter pylori infection diagnosis, risk prediction and patient management, with the aim of informing future research and clinical translation.
Citation	Zhou NY, Luo Q, Liu W, Yuan XL, Jiang H, Hu B. Artificial intelligence in chronic atrophic gastritis: A comprehensive review. World J Gastrointest Endosc 2026; In press DOI: https://doi.org/10.4253/wjge.124991
PDF	124991-in-press.pdf

Received	2026-06-29 09:42
Peer-Review Started	2026-06-29 09:43
First Decision by Editorial Office Director
Return for Revision	2026-08-26 09:06
Revised	2026-09-01 05:24
Publication Fee Transferred
Second Decision by Editor	2026-10-19 06:06
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-10-20 09:43
Articles in Press	2026-10-20 09:43
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5190 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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