Publication Name	Artificial Intelligence in Cancer
Manuscript ID	96690
Country	Italy

Received	2024-05-14 08:12
Peer-Review Started	2024-05-14 08:12
To Make the First Decision
Return for Revision	2024-06-12 09:07
Revised	2024-06-26 09:42
Second Decision	2024-07-08 02:46
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-07-10 08:12
Articles in Press	2024-07-10 08:12
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-07-15 00:21
Publish the Manuscript Online	2024-07-17 07:37

ISSN	2644-3228 (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) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Oncology
Manuscript Type	Editorial
Article Title	Past, present, and future perspectives of ultrasound-guided ablation of liver tumors: Where could artificial intelligence lead interventional oncology?
Manuscript Source	Invited Manuscript
All Author List	Paola Tombesi, Andrea Cutini, Valentina Grasso, Francesca Di Vece, Ugo Politti, Eleonora Capatti, Florence Labb, Stefano Petaccia and Sergio Sartori
Funding Agency and Grant Number
Corresponding Author	Sergio Sartori, MD, Adjunct Professor, Chief Doctor, Department of Internal Medicine, Section of Interventional Ultrasound, St. Anna Hospital, Via A. Moro 8, Ferrara 44100, Italy. srs@unife.it
Key Words	Artificial intelligence; Fusion imaging; Percutaneous thermal ablation; Microwave ablation; Radiofrequency ablation; Ultrasound; Contrast-enhanced ultrasound
Core Tip	Starting from the first experiences with ethanol injection, constant technical improvements in both thermal ablation and ultrasound imaging have led clinicians in interventional oncology to break the so-called 3-cm barrier in the percutaneous treatment of primary and secondary liver tumors. At present, advanced software powered by artificial intelligence has been developed to precisely target tumor margins and/or residual viable tumor tissue, opening the way to the percutaneous ablation of tumors up to 5-7 cm in size.
Publish Date	2024-07-17 07:37
Citation	<p>Tombesi P, Cutini A, Grasso V, Di Vece F, Politti U, Capatti E, Labb F, Petaccia S, Sartori S. Past, present, and future perspectives of ultrasound-guided ablation of liver tumors: Where could artificial intelligence lead interventional oncology? <i>Artif Intell Cancer</i> 2024; 5(1): 96690</p>
URL	https://www.wjgnet.com/2644-3228/full/v5/i1/96690.htm
DOI	https://dx.doi.org/10.35713/aic.v5.i1.96690

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