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Articles Published Processes
1/12/2026 9:50:47 AM | Browse: 0 | Download: 0
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Received |
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2025-08-14 03:04 |
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Peer-Review Started |
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2025-08-14 03:04 |
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First Decision by Editorial Office Director |
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2025-09-30 09:37 |
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Return for Revision |
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2025-09-30 09:37 |
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Revised |
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2025-11-04 12:09 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-12-02 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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2025-12-02 08:52 |
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Articles in Press |
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2025-12-02 08:52 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-12-30 09:38 |
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Publish the Manuscript Online |
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2026-01-12 09:50 |
| 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) 2026. 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 |
Review |
| Article Title |
Harnessing artificial intelligence for the assessment of liver fibrosis and steatosis via multiparametric ultrasound
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Nicholas Viceconti, Silvia Andaloro, Mattia Paratore, Sara Miliani, Giulia D'Acunzo, Giuseppe Cerniglia, Fabrizio Mancuso, Elena Melita, Antonio Gasbarrini, Laura Riccardi and Matteo Garcovich |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Mattia Paratore, MD, Department of Medical and Surgical Sciences, Diagnostic and Interventional Ultrasound Unit, CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Agostino Gemelli, 8, Rome 00168, Italy. mattia.paratore@guest.policlinicogemelli.it |
| Key Words |
Artificial intelligence; Multiparametric ultrasound; Liver; Fibrosis; Steatosis; Shear wave elastography; Attenuation imaging; Machine-learning; Deep-learning |
| Core Tip |
The emergence of artificial intelligence has led to its application across various fields, including hepatology and medical imaging. Its enormous potential has already been recognized and documented in numerous studies. This review explores the current application and future potential of artificial intelligence in ultrasound imaging, emphasizing its role in chronic liver disease early diagnosis and follow-up. |
| Publish Date |
2026-01-12 09:50 |
| Citation |
Viceconti N, Andaloro S, Paratore M, Miliani S, D'Acunzo G, Cerniglia G, Mancuso F, Melita E, Gasbarrini A, Riccardi L, Garcovich M. Harnessing artificial intelligence for the assessment of liver fibrosis and steatosis via multiparametric ultrasound. World J Gastroenterol 2026; 32(2): 113059 |
| URL |
https://www.wjgnet.com/1007-9327/full/v32/i2/113059.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v32.i2.113059 |
© 2004-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
