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Articles Published Processes
9/9/2026 9:45:20 AM | Browse: 6 | Download: 2
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Received |
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2026-04-07 07:01 |
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Peer-Review Started |
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2026-04-07 07:03 |
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First Decision by Editorial Office Director |
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2026-04-23 03:13 |
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Return for Revision |
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2026-04-23 03:13 |
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Revised |
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2026-05-20 12:40 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-06-17 02:38 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-06-17 06:21 |
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Articles in Press |
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2026-06-17 06:21 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-08-11 01:37 |
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Publish the Manuscript Online |
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2026-09-09 09:45 |
| ISSN |
1948-5204 (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 |
© Author(s) (or their employer(s)) 2026. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Surgery |
| Manuscript Type |
Minireviews |
| Article Title |
Multitask learning in hepatocellular carcinoma: Integrating diagnosis, prognosis, and clinical decision support
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Sami Akbulut and Cemil Colak |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Sami Akbulut, FACS, MD, PhD, Professor, Surgery and Liver Transplantation, Inonu University Faculty of Medicine, Elazig Yolu 10 Kilometers, Malatya 44280, Türkiye. akbulutsami@gmail.com |
| Key Words |
Hepatocellular carcinoma; Multitask learning; Deep learning; Medical imaging; Prognosis; Clinical decision support |
| Core Tip |
Hepatocellular carcinoma (HCC) management involves interrelated tasks, including diagnosis, tumor characterization, microvascular invasion prediction, recurrence-risk estimation, survival modeling, and treatment-response assessment. Conventional single-task artificial intelligence models address these endpoints separately, limiting their ability to capture shared disease biology. This review highlights multitask learning (MTL) as an emerging integrated framework for HCC analysis. Current evidence suggests that MTL may improve performance across structurally and clinically linked tasks while providing more coherent decision support. We also summarize key architectural trends, current limitations, and future directions required for broader clinical translation of MTL in HCC through prospective validation and multicenter methodological refinement. |
| Publish Date |
2026-09-09 09:45 |
| Citation |
Akbulut S, Colak C. Multitask learning in hepatocellular carcinoma: Integrating diagnosis, prognosis, and clinical decision support. World J Gastrointest Oncol 2026; 18(9): 121975
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| URL |
https://www.wjgnet.com/1948-5204/full/v18/i9/121975.htm |
| DOI |
https://doi.org/10.4251/wjgo.121975 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
