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Articles Published Processes
6/6/2025 9:35:52 AM | Browse: 14 | Download: 111
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Received |
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2025-03-16 05:54 |
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Peer-Review Started |
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2025-03-16 05:55 |
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To Make the First Decision |
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Return for Revision |
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2025-03-22 01:34 |
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Revised |
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2025-04-03 00:50 |
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Second Decision |
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2025-04-16 02:49 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-04-16 08:50 |
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Articles in Press |
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2025-04-16 08:50 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2025-04-17 01:16 |
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Typeset the Manuscript |
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2025-06-04 00:37 |
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Publish the Manuscript Online |
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2025-06-06 09:35 |
| ISSN |
2644-3236 (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 |
Advancing the diagnosis and treatment of metabolic-associated steatotic liver disease: The transformative role of artificial intelligence
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Yu-Ning Gao, Mei-Ling Chen, Wen-Mao Li, Qing Liu and Yan Jiao |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Yan Jiao, Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, No. 1 Xinmin Street, Changchun 130021, Jilin Province, China. lagelangri1@126.com |
| Key Words |
Metabolic-associated steatotic liver disease; Artificial intelligence; Non-invasive diagnosis; Liver fibrosis; Personalized treatment |
| Core Tip |
Artificial intelligence (AI) is revolutionizing the diagnosis and treatment of metabolic-associated steatotic liver disease (MASLD) by enhancing diagnostic accuracy, enabling non-invasive assessments, and guiding personalized treatment strategies. Despite challenges such as data integration, model interpretability, and cost-effectiveness, AI has the potential to improve early detection, facilitate targeted interventions, and ultimately enhance patient outcomes in MASLD care. |
| Publish Date |
2025-06-06 09:35 |
| Citation |
<p>Gao YN, Chen ML, Li WM, Liu Q, Jiao Y. Advancing the diagnosis and treatment of metabolic-associated steatotic liver disease: The transformative role of artificial intelligence. <i>Artif Intell Gastroenterol</i> 2025; 6(1): 107105</p> |
| URL |
https://www.wjgnet.com/2644-3236/full/v6/i1/107105.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v6.i1.107105 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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