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9/25/2025 3:42:35 AM | Browse: 216 | Download: 50
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Received |
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2025-06-30 01:24 |
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Peer-Review Started |
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2025-06-30 01:24 |
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To Make the First Decision |
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Return for Revision |
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2025-07-25 07:44 |
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Revised |
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2025-07-29 04:31 |
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Second Decision |
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2025-08-29 02:43 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-08-29 08:27 |
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Articles in Press |
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2025-08-29 08:27 |
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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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2025-09-08 07:58 |
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Publish the Manuscript Online |
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2025-09-25 03:33 |
| ISSN |
1007-9327 (print) and 2219-2840 (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: http://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 |
Role of artificial intelligence in gastric diseases
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Eun Jeong Gong, Jieun Woo, Jae Jun Lee and Chang Seok Bang |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Hallym University Medical Center Research Fund |
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| Corresponding Author |
Chang Seok Bang, Associate Professor, MD, PhD, Department of Internal Medicine, Hallym University College of Medicine, Sakju-ro 77, Chuncheon 24253, Gangwon-do, South Korea. csbang@hallym.ac.kr |
| Key Words |
Artificial intelligence; Endoscopy; Deep learning; Machine learning; Large language models; Gastric cancer |
| Core Tip |
This minireview demonstrates that AI in gastric disease diagnosis has reached clinical maturity, with systems achieving expert-level performance in cancer detection, precancerous lesion identification, and clinical outcome prediction. The key insight is that AI effectiveness is inversely correlated with user expertise, providing the greatest benefit to practitioners with moderate expertise. The emergence of general-purpose LLMs represents a paradigm shift from developing custom AI models that require years of specialized training to leveraging pre-trained systems that clinicians can adapt within weeks without coding expertise. This democratization of AI technology through LLMs enables all medical professionals, regardless of their technical background, to access sophisticated AI capabilities, fundamentally changing how we integrate AI into practice. |
| Publish Date |
2025-09-25 03:33 |
| Citation |
<p>Gong EJ, Woo J, Lee JJ, Bang CS. Role of artificial intelligence in gastric diseases. <i>World J Gastroenterol</i> 2025; 31(37): 111327</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i37/111327.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i37.111327 |
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