Publication Name	World Journal of Hepatology
Manuscript ID	111425
Country	Italy

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
Manuscript Source	Invited Manuscript
All Author List	Alessandro Posa, Marcello Lippi, Pierluigi Barbieri, Edoardo Vincenzo Andreani and Roberto Iezzi
Funding Agency and Grant Number
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.
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; In press

Received	2025-06-30 05:09
Peer-Review Started	2025-06-30 05:10
To Make the First Decision
Return for Revision	2025-08-07 07:52
Revised	2025-08-20 20:16
Second Decision	2025-11-13 02:44
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-11-13 07:44
Articles in Press	2025-11-13 07:44
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5182 (online)
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