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Articles Published Processes
10/21/2025 9:08:31 AM | Browse: 2 | Download: 1
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Received |
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2025-06-30 01:27 |
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Peer-Review Started |
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2025-06-30 01:28 |
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To Make the First Decision |
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Return for Revision |
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2025-07-21 09:17 |
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Revised |
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2025-07-29 15:23 |
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Second Decision |
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2025-09-12 02:38 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-09-12 05:45 |
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Articles in Press |
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2025-09-12 05:45 |
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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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2025-10-15 09:06 |
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Publish the Manuscript Online |
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2025-10-21 09:08 |
| 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 |
Multi-model applications and cutting-edge advancements of artificial intelligence in hepatology in the era of precision medicine
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Ying Zheng, Han Li, Ru Wang, Cong-Shan Jiang and Yi-Tong Zhao |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Yi-Tong Zhao, PhD, Shaanxi Institute for Pediatric Diseases, Key Laboratory of Precision Medicine to Pediatric Diseases of Shaanxi Province, Xi’an Children’s Hospital, Affiliated Children’s Hospital of Xi’an Jiaotong University, No. 69 Xijuyuan Lane, Lianhu District, Xi’an 710003, Shaanxi Province, China. xjmzyt@163.com |
| Key Words |
Hepatology; Artificial intelligence; Deep learning; Convolutional neural network; Natural language processing; Support vector machine; Graph neural network; Transformer model; Recurrent neural network |
| Core Tip |
This minireview highlights artificial intelligence innovations in hepatology. It develops multi-modal data fusion strategies integrating imaging, genomics, lab results, and clinical records via transformer models and graph neural networks to uncover latent associations and build disease knowledge graphs. Convolutional neural networks enable automated, high-accuracy liver lesion detection and quantification in pathology/imaging. Artificial intelligence optimizes personalized antiviral therapy and liver transplant outcomes through drug-response prediction and graft-recipient matching. Natural language processing extracts critical insights from electronic health records. These approaches significantly advance diagnosis, treatment personalization, and translational research in precision hepatology. |
| Publish Date |
2025-10-21 09:08 |
| Citation |
<p>Zheng Y, Li H, Wang R, Jiang CS, Zhao YT. Multi-model applications and cutting-edge advancements of artificial intelligence in hepatology in the era of precision medicine. <i>World J Gastroenterol</i> 2025; 31(39): 111323</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i39/111323.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i39.111323 |
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