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Articles in Press
12/18/2025 6:28:37 AM | Browse: 13 | Download: 0
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Review |
| Article Title |
Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Miguel Suarez, Raquel Martínez, Félix González-Martínez, Ana María Torres and Jorge Mateo |
| Funding Agency and Grant Number |
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| Corresponding Author |
Miguel Suarez, MD, PhD, Department of Gastroenterology, Virgen de la Luz Hospital, Hermandad Donantes de Sangre, 1, Cuenca 16002, Castille-La Mancha, Spain. msuarezmatias@sescam.jccm.es |
| Key Words |
Artificial intelligence; Machine learning; Deep learning; Natural language processing; Large language models; Neurogastroenterology; Hepatology; Inflammatory bowel disease; Endoscopy |
| Core Tip |
Artificial intelligence (AI) is rapidly transforming gastroenterology and hepatology, offering tools that enhance diagnostic precision, personalize treatment, and reduce variability in clinical practice. Applications such as computer-aided detection in colonoscopy, non-invasive assessment of liver fibrosis, and predictive modeling in inflammatory bowel disease illustrate its tangible clinical impact. However, the widespread adoption of AI remains constrained by methodological barriers, data quality issues, lack of external validation, and ethical challenges related to transparency, accountability, and equitable access. This review provides a comprehensive overview of benefits, limitations, and future perspectives, emphasizing the importance of responsible and patient-centered integration of AI. |
| Citation |
Suarez M, Martínez R, González-Martínez F, Torres AM, Mateo J. Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges. World J Hepatol 2025; In press |
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Received |
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2025-09-29 01:45 |
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Peer-Review Started |
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2025-09-29 01:45 |
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First Decision by Editorial Office Director |
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2025-10-23 09:02 |
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Return for Revision |
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2025-10-25 11:15 |
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Revised |
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2025-11-17 22:48 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-12-18 02:34 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-12-18 06:28 |
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Articles in Press |
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2025-12-18 06:28 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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| ISSN |
1948-5182 (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. |
| 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 |
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