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Articles Published Processes
9/2/2026 6:35:31 AM | Browse: 0 | Download: 0
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Received |
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2026-02-03 01:17 |
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Peer-Review Started |
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2026-02-03 01:21 |
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First Decision by Editorial Office Director |
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2026-02-06 10:19 |
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Return for Revision |
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2026-02-06 10:19 |
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Revised |
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2026-02-20 04:18 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-04-07 02:40 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-04-07 04:10 |
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Articles in Press |
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2026-04-07 04:10 |
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Edit the Manuscript by Language Editor |
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2026-04-09 18:37 |
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Typeset the Manuscript |
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2026-09-01 00:18 |
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Publish the Manuscript Online |
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2026-09-02 06:35 |
| ISSN |
2644-3228 (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 |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Computer Science, Artificial Intelligence |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence in liver disease: Current status and future direction
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Chun-Ye Zhang and Ming Yang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Ming Yang, Assistant Professor, PhD, Department of Surgery, School of Medicine, University of Connecticut, 263 Farmington Avenue, Farmington, CT 06030, United States. minyang@uchc.edu |
| Key Words |
Artificial intelligence; Machine learning; Liver disease; Diagnosis and prognosis; Therapy |
| Core Tip |
Chronic liver disease is a leading cause of disease-related mortality worldwide. Artificial intelligence, including machine learning and deep learning algorithms, is increasingly being applied to the diagnosis, prognosis, and prediction of treatment outcomes in chronic liver disease, to prevent progression to cirrhosis and hepatocellular carcinoma. Although limitations exist, integrating artificial intelligence into clinical workflows can help reduce errors and facilitate the extraction of critical information from large electronic health record datasets and complex diagnostic images. |
| Publish Date |
2026-09-02 06:35 |
| Citation |
Zhang CY, Yang M. Artificial intelligence in liver disease: Current status and future direction. Artif Intell Cancer 2026; 7(1): 119655
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| URL |
https://www.wjgnet.com/2644-3228/full/v7/i1/119655.htm |
| DOI |
https://doi.org/10.35713/aic.119655 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
