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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Endosc. Jul 16, 2025; 17(7): 108293
Published online Jul 16, 2025. doi: 10.4253/wjge.v17.i7.108293
Published online Jul 16, 2025. doi: 10.4253/wjge.v17.i7.108293
Revolutionizing upper gastrointestinal disease diagnosis: The transformative role of artificial intelligence in endoscopy
Xin-Rui Li, Department of Cardiology, Guiqian International General Hospital, Guiyang 550018, Guizhou Province, China
Mo-Wei Kong, Xiang-Feng Guan, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan Province, China
Yu Gao, Department of Endocrinology, Hebei Key Laboratory of Panvascular Diseases, Affiliated Hospital of Chengde Medical University, Chengde 067000, Hebei Province, China
Co-first authors: Xin-Rui Li and Mo-Wei Kong.
Author contributions: Li XR and Kong MW contribute equally to this study as co-first authors; Kong MW and Guan XF provided crucial suggestions and guidance for the writing; Li XR wrote the manuscript; Gao Y reviewed and revised the manuscript; all authors read and approved the final manuscript.
Conflict-of-interest statement: The authors declare that no author has any conflict of interest.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yu Gao, MD, Professor, Chief Physician, Department of Endocrinology, Hebei Key Laboratory of Panvascular Diseases, Affiliated Hospital of Chengde Medical University, No. 36 Nanyingzi Street, Shuangqiao District, Chengde 067000, Hebei Province, China. yugao815@163.com
Received: April 10, 2025
Revised: April 16, 2025
Accepted: June 13, 2025
Published online: July 16, 2025
Processing time: 90 Days and 17.9 Hours
Revised: April 16, 2025
Accepted: June 13, 2025
Published online: July 16, 2025
Processing time: 90 Days and 17.9 Hours
Core Tip
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.