Publication Name	World Journal of Gastrointestinal Endoscopy
Manuscript ID	108293
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Revolutionizing upper gastrointestinal disease diagnosis: The transformative role of artificial intelligence in endoscopy
Manuscript Source	Invited Manuscript
All Author List	Xin-Rui Li, Mo-Wei Kong, Xiang-Feng Guan and Yu Gao
Funding Agency and Grant Number
Corresponding Author	Yu Gao, Associate Professor, Chief Physician, Dean, MD, PhD, Department of Endocrinology, Affliated Hospital of Chengde Medical University, No.36 Nanyingzi Street,Shuangqiao District, Chengde 067000, Hebei Province, China. yugao815@163.com
Key Words	Artificial Intelligence; Upper gastrointestinal diseases; Endoscopic diagnosis; Deep learning; Esophageal lesions; Gastroesophageal reflux disease
Core Tip	This review highlights the application progress of artificial intelligence in the diagnosis of upper gastrointestinal diseases, emphasizing its potential in improving the accuracy of endoscopic image analysis, early lesion detection, and disease grading. It also addresses the challenges faced in clinical implementation, including data quality, multi-center validation, and model interpretability.
Citation	Li XR, Kong MW, Guan XF, Gao Y. Revolutionizing upper gastrointestinal disease diagnosis: The transformative role of artificial intelligence in endoscopy. World J Gastrointest Endosc 2025; In press

Received	2025-04-10 01:41
Peer-Review Started	2025-04-10 01:41
To Make the First Decision
Return for Revision	2025-04-16 05:29
Revised	2025-04-16 06:53
Second Decision	2025-06-12 02:49
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-06-13 08:42
Articles in Press	2025-06-13 08:42
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5190 (online)
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