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7/9/2025 7:31:38 AM | Browse: 2 | Download: 0
Publication Name World Journal of Gastrointestinal Endoscopy
Manuscript ID 108293
Country China
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
2025-07-03 00:10
Publish the Manuscript Online
2025-07-09 07:00
ISSN 1948-5190 (online)
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/
Copyright © The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
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.
Publish Date 2025-07-09 07:00
Citation <p>Li XR, Kong MW, Guan XF, Gao Y. Revolutionizing upper gastrointestinal disease diagnosis: The transformative role of artificial intelligence in endoscopy. <i>World J Gastrointest Endosc</i> 2025; 17(7): 108293</p>
URL https://www.wjgnet.com/1948-5190/full/v17/i7/108293.htm
DOI https://dx.doi.org/10.4253/wjge.v17.i7.108293
Full Article (PDF) WJGE-17-108293-with-cover.pdf
Manuscript File 108293_Auto_Edited_084005.docx
Answering Reviewers 108293-answering-reviewers.pdf
Audio Core Tip 108293-audio.wav
Conflict-of-Interest Disclosure Form 108293-conflict-of-interest-statement.pdf
Copyright License Agreement 108293-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 108293-non-native-speakers.pdf
Peer-review Report 108293-peer-reviews.pdf
Scientific Misconduct Check 108293-scientific-misconduct-check.png
Scientific Editor Work List 108293-scientific-editor-work-list.pdf
CrossCheck Report 108293-crosscheck-report.pdf