Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	120311
Country	India

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Artificial intelligence in prognostication and treatment response modeling in advanced hepatocellular carcinoma
Manuscript Source	Invited Manuscript
All Author List	Babu Lal Meena, Bijaylaxmi Behera, Omkar S Rudra and Deepti Sharma
Funding Agency and Grant Number
Corresponding Author	Babu Lal Meena, Department of Hepatology, Postgraduate Institute of Medical Education and Research, -, Chandigarh 160012, India. drbabupgi@gmail.com
Key Words	Artificial intelligence; Hepatocellular carcinoma; Radiomics; Prognostic modeling; Predictive modeling; Survival analysis; Causal inference; Precision oncology
Core Tip	Artificial intelligence models in advanced hepatocellular carcinoma frequently demonstrate improved discrimination compared with conventional staging systems; however, most remain retrospective, prognostic rather than predictive, and inconsistently validated across institutions and therapeutic eras. This review critically distinguishes statistical performance gains from clinically meaningful advancement, emphasizing the need for causal modeling, competing-risk adaptation, calibration assessment, and prospective decision-impact evaluation before routine integration into multidisciplinary hepatology practice.
Citation	Meena BL, Behera B, Rudra OS, Sharma D. Artificial intelligence in prognostication and treatment response modeling in advanced hepatocellular carcinoma. Artif Intell Gastroenterol 2026; In press

Received	2026-02-24 05:47
Peer-Review Started	2026-02-24 05:48
First Decision by Editorial Office Director	2026-04-08 08:36
Return for Revision	2026-04-08 08:36
Revised	2026-04-19 04:57
Publication Fee Transferred
Second Decision by Editor	2026-05-22 02:37
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-05-22 08:43
Articles in Press	2026-05-22 08:43
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3236 (online)
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