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/
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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