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Articles Published Processes
12/19/2025 10:39:40 AM | Browse: 3 | Download: 14
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Received |
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2025-07-14 03:21 |
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Peer-Review Started |
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2025-07-14 03:21 |
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First Decision by Editorial Office Director |
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2025-09-12 07:16 |
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Return for Revision |
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2025-09-12 07:16 |
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Revised |
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2025-10-07 13:10 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-11-05 02:43 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-11-05 06:16 |
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Articles in Press |
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2025-11-05 06:16 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-12-10 00:47 |
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Publish the Manuscript Online |
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2025-12-19 10:39 |
| 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: 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 |
Artificial intelligence applications for managing metabolic dysfunction-associated steatotic liver disease: Current status and future prospects
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Jian-Jun Lou and Jing Zeng |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Shanghai Pujiang Program |
No. 24PJD071 |
| National Natural Science Foundation of China |
No. 82100605 |
| Star Program of Shanghai Jiao Tong University |
No. YG2021QN54 |
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| Corresponding Author |
Jing Zeng, MD, Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai 200092, China. zjupup@126.com |
| Key Words |
Metabolic dysfunction-associated steatotic liver disease; Artificial intelligence; Multiomics integration; Early screening; Risk stratification; Disease monitoring; Machine learning; Clinical decision support |
| Core Tip |
Artificial intelligence (AI) is rapidly advancing the management of metabolic dysfunction-associated steatotic liver disease (MASLD). Because AI can integrate imaging, multiomics, and electronic health record data, the use of AI enables earlier diagnosis, more accurate risk stratification, and personalized treatment. This mini-review summarizes recent progress and future directions for applying AI to improve MASLD care and outcomes. |
| Publish Date |
2025-12-19 10:39 |
| Citation |
Lou JJ, Zeng J. Artificial intelligence applications for managing metabolic dysfunction-associated steatotic liver disease: Current status and future prospects. World J Gastroenterol 2025; 31(47): 111900 |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i47/111900.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i47.111900 |
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