Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	116057
Country	India

Category	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Artificial intelligence in expanding hepatic resection boundaries: Integrating portal flow modulation and regenerative strategies
Manuscript Source	Invited Manuscript
All Author List	Himanshu Agrawal, Nikhil Gupta and Himanshu Tanwar
Funding Agency and Grant Number
Corresponding Author	Nikhil Gupta, Department of Surgery, Atal Bihari Vajpayee Institute of Medical Sciences and Dr. Ram Manohar Lohia Hospital, BKS Marg, Delhi 110001, India. nikhil_ms26@yahoo.co.in
Key Words	Hepatic resection; Artificial intelligence; Portal vein embolization; Liver venous deprivation; Associating liver partition and portal vein ligation for staged hepatectomy
Core Tip	Advanced artificial intelligence tools-automated segmentation, radiomics, and explainable risk models-optimize future liver remnant assessment and surgical planning. When combined with portal flow modulation (portal vein embolization/liver venous deprivation) and judicious associating liver partition and portal vein ligation for staged hepatectomy use, they offer a pragmatic pathway to expand resection candidacy without compromising safety, provided implementation is guided by rigorous validation and ethical safeguards.
Citation	Agrawal H, Gupta N, Tanwar H. Artificial intelligence in expanding hepatic resection boundaries: Integrating portal flow modulation and regenerative strategies. Artif Intell Gastroenterol 2026; In press

Received	2025-11-02 12:01
Peer-Review Started	2025-11-02 12:01
First Decision by Editorial Office Director	2025-11-19 10:16
Return for Revision	2025-11-19 10:16
Revised	2025-11-24 07:34
Publication Fee Transferred
Second Decision by Editor	2026-01-13 02:36
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-01-13 06:12
Articles in Press	2026-01-13 06:12
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3236 (online)
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