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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Hepatol. Dec 27, 2025; 17(12): 111425
Published online Dec 27, 2025. doi: 10.4254/wjh.v17.i12.111425
Published online Dec 27, 2025. doi: 10.4254/wjh.v17.i12.111425
Performance of artificial intelligence in predicting hepatocellular carcinoma recurrence after thermal ablation: A systematic review
Alessandro Posa, Marcello Lippi, Pierluigi Barbieri, Edoardo Vincenzo Andreani, Roberto Iezzi, Department of Diagnostic Imaging and Radiation Oncology, Fondazione Policlinico Uni
Author contributions: Posa A, Lippi M and Barbieri P designed the study, analyzed the data and prepared the original draft; Posa A, Lippi M, Barbieri P, Andreani EV and Iezzi R reviewed and edited the draft; all authors have read and approved the final manuscript.
Conflict-of-interest statement: The authors declare no conflicts of interest.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
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/
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
Received: June 30, 2025
Revised: August 20, 2025
Accepted: November 13, 2025
Published online: December 27, 2025
Processing time: 180 Days and 13.6 Hours
Revised: August 20, 2025
Accepted: November 13, 2025
Published online: December 27, 2025
Processing time: 180 Days and 13.6 Hours
Core Tip
Core Tip: Artificial intelligence can aid the prediction of 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.