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Articles Published Processes
12/26/2025 10:27:30 AM | Browse: 75 | Download: 283
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Received |
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2025-06-30 05:09 |
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Peer-Review Started |
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2025-06-30 05:10 |
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First Decision by Editorial Office Director |
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2025-08-05 09:19 |
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Return for Revision |
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2025-08-07 07:52 |
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Revised |
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2025-08-20 20:16 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-11-13 02:44 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-11-13 07:44 |
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Articles in Press |
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2025-11-13 07:44 |
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Edit the Manuscript by Language Editor |
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2025-11-16 19:20 |
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Typeset the Manuscript |
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2025-12-18 02:18 |
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Publish the Manuscript Online |
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2025-12-26 10:27 |
| ISSN |
1948-5182 (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 |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Systematic Reviews |
| Article Title |
Performance of artificial intelligence in predicting hepatocellular carcinoma recurrence after thermal ablation: A systematic review
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Alessandro Posa, Marcello Lippi, Pierluigi Barbieri, Edoardo Vincenzo Andreani and Roberto Iezzi |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Alessandro Posa, MD, Department of Diagnostic Imaging and Radiation Oncology, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Largo Agostino Gemelli 8, Rome 00168, Lazio, Italy. alessandro.posa@policlinicogemelli.it |
| Key Words |
Artificial intelligence; Hepatocellular carcinoma; Thermal ablation; Prediction; Tumor recurrence |
| Core Tip |
Artificial intelligence can be of great help in predicting post-thermal ablation treatment recurrence of hepatocellular carcinoma, improving patient's quality of life, tailoring the follow-up and avoiding unnecessary treatments while providing an early recognition of tumor recurrence. |
| Publish Date |
2025-12-26 10:27 |
| Citation |
Posa A, Lippi M, Barbieri P, Andreani EV, Iezzi R. Performance of artificial intelligence in predicting hepatocellular carcinoma recurrence after thermal ablation: A systematic review. World J Hepatol 2025; 17(12): 111425 |
| URL |
https://www.wjgnet.com/1948-5182/full/v17/i12/111425.htm |
| DOI |
https://dx.doi.org/10.4254/wjh.v17.i12.111425 |
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