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3/23/2026 8:21:12 AM | Browse: 1 | Download: 0
Publication Name World Journal of Clinical Oncology
Manuscript ID 113226
Country United States
Received
2025-08-19 04:11
Peer-Review Started
2025-08-19 04:11
First Decision by Editorial Office Director
2025-08-25 07:41
Return for Revision
2025-08-25 07:41
Revised
2025-09-04 01:10
Publication Fee Transferred
Second Decision by Editor
2026-01-26 02:53
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-01-26 08:17
Articles in Press
2026-01-26 08:17
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-03-12 00:34
Publish the Manuscript Online
2026-03-23 08:21
ISSN 2218-4333 (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) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Oncology
Manuscript Type Review
Article Title Evolving and novel applications of artificial intelligence in interventional oncology
Manuscript Source Invited Manuscript
All Author List Sabrina Y Almashni, Fady Bassem Fayek, Dannah C Javens, Michael T Boulis and Mina S Makary
ORCID
Author(s) ORCID Number
Sabrina Y Almashni http://orcid.org/0009-0008-7482-2804
Mina S Makary http://orcid.org/0000-0002-2498-7132
Funding Agency and Grant Number
Corresponding Author Sabrina Y Almashni, Department of Radiology, The Ohio State University Wexner Medical Center, 410 West 10th Avenue, Columbus, OH 43210, United States. sabrina.almashni@osumc.edu
Key Words Artificial intelligence; Interventional oncology; Image-guided therapy; Machine learning; Deep learning; Radiomics; Procedural planning; Real-time navigation; Neural network; Natural language processing
Core Tip Artificial intelligence is transforming interventional oncology by enhancing precision, streamlining workflows, and enabling personalized care across all procedural stages. This review highlights emerging applications and outlines how artificial intelligence integration is reshaping practice, improving outcomes, and setting the foundation for data-driven, adaptive interventions in image-guided oncology.
Publish Date 2026-03-23 08:21
Citation

Almashni SY, Fayek FB, Javens DC, Boulis MT, Makary MS. Evolving and novel applications of artificial intelligence in interventional oncology. World J Clin Oncol 2026; 17(3): 113226

URL https://www.wjgnet.com/2218-4333/full/v17/i3/113226.htm
DOI https://dx.doi.org/10.5306/wjco.v17.i3.113226
Full Article (PDF) WJCO-17-113226-with-cover.pdf
Manuscript File 113226_Auto_Edited_060607.docx
Answering Reviewers 113226-answering-reviewers.pdf
Audio Core Tip 113226-audio.mp3
Conflict-of-Interest Disclosure Form 113226-conflict-of-interest-statement.pdf
Copyright License Agreement 113226-copyright-assignment.pdf
Peer-review Report 113226-peer-reviews.pdf
Scientific Misconduct Check 113226-scientific-misconduct-check.png
Scientific Editor Work List 113226-scientific-editor-work-list.pdf
CrossCheck Report 113226-crosscheck-report.pdf