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Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 121975
DOI 10.4251/wjgo.121975
Country Türkiye
Category Surgery
Manuscript Type Minireviews
Article Title Multitask learning in hepatocellular carcinoma: Integrating diagnosis, prognosis, and clinical decision support
Manuscript Source Invited Manuscript
All Author List Sami Akbulut and Cemil Colak
Funding Agency and Grant Number
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.
Citation Akbulut S, Colak C. Multitask learning in hepatocellular carcinoma: Integrating diagnosis, prognosis, and clinical decision support. World J Gastrointest Oncol 2026; In press
PDF 121975-in-press.pdf
Received
2026-04-07 07:01
Peer-Review Started
2026-04-07 07:03
First Decision by Editorial Office Director
2026-04-23 03:13
Return for Revision
2026-04-23 03:13
Revised
2026-05-20 12:40
Publication Fee Transferred
Second Decision by Editor
2026-06-17 02:38
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-06-17 06:21
Articles in Press
2026-06-17 06:21
Edit the Manuscript by Language Editor
Typeset the Manuscript
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.
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