Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	124278
DOI	10.35712/aig.124278
Country	India

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Artificial intelligence-driven risk estimation, early detection, diagnostic characterisation and prognosis in hepatitis b-related hepatocellular carcinoma
Manuscript Source	Invited Manuscript
All Author List	Pranjal Kashiv, Manish Ramesh Balwani, Khushboo Saxena, Priyanka Tolani, Amit Pasari and Vivek B Kute
Funding Agency and Grant Number
Corresponding Author	Vivek B Kute, Department of Nephrology and Clinical Transplantation, Institute of Kidney Diseases and Research Center, Dr. HL Trivedi Institute of Transplantation Sciences, Room No. 125, First Floor, Civil Hospital Campus, Ahmedabad 380016, Gujarāt, India. drvivekkute@rediffmail.com
Key Words	Hepatitis B; Hepatocellular carcinoma; Artificial intelligence; Deep learning; Risk prediction; Liquid biopsy; Surveillance
Core Tip	Artificial intelligence is applied to four distinct problems in chronic hepatitis B, namely risk estimation, early detection, diagnostic characterisation and prognosis, and this review appraises each separately, reframing hepatocellular carcinoma risk from a static, population-derived score into a dynamic, individualised probability. The discriminative advantage over legacy instruments is reproducible, yet it rests overwhelmingly on retrospective, single-centre, internally validated work in which hepatitis B-specific evidence is a minority. The field’s maturation will be measured not by further increments in the area under the curve but by the rigour of external validation, the candour of calibration, and the equity of deployment.
Citation	Kashiv P, Balwani MR, Saxena K, Tolani P, Pasari A, Kute VB. Artificial intelligence-driven risk estimation, early detection, diagnostic characterisation and prognosis in hepatitis b-related hepatocellular carcinoma. Artif Intell Gastroenterol 2026; In press DOI: https://doi.org/10.35712/aig.124278
PDF	124278-in-press.pdf

Received	2026-06-10 02:49
Peer-Review Started	2026-06-10 02:50
First Decision by Editorial Office Director
Return for Revision	2026-07-24 01:08
Revised	2026-08-05 08:14
Publication Fee Transferred
Second Decision by Editor	2026-09-11 02:52
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-09-11 09:20
Articles in Press	2026-09-11 09:20
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3236 (online)
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