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7/9/2025 7:31:38 AM | Browse: 2 | Download: 0
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Received |
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2025-04-10 01:41 |
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Peer-Review Started |
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2025-04-10 01:41 |
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To Make the First Decision |
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Return for Revision |
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2025-04-16 05:29 |
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Revised |
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2025-04-16 06:53 |
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Second Decision |
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2025-06-12 02:49 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-06-13 08:42 |
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Articles in Press |
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2025-06-13 08:42 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-07-03 00:10 |
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Publish the Manuscript Online |
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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
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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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
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Manuscript Source |
Invited Manuscript |
All Author List |
Xin-Rui Li, Mo-Wei Kong, Xiang-Feng Guan and Yu Gao |
Funding Agency and Grant Number |
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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 |
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