Artificial intelligence in expanding hepatic resection boundaries: Integrating portal flow modulation and regenerative strategies

doi:10.35712/aig.v7.i2.116057

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Artificial Intelligence in Gastroenterology

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2644-3236

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

Artif Intell Gastroenterol. Aug 8, 2026; 7(2): 116057
Published online Aug 8, 2026. doi: 10.35712/aig.v7.i2.116057

Artificial intelligence in expanding hepatic resection boundaries: Integrating portal flow modulation and regenerative strategies

Himanshu Agrawal, Nikhil Gupta, Himanshu Tanwar

Himanshu Agrawal, Himanshu Tanwar, Department of Surgery, University College of Medical Sciences (University of Delhi), GTB Hospital, Delhi 110095, India

Nikhil Gupta, Department of Surgery, Atal Bihari Vajpayee Institute of Medical Sciences and Dr. Ram Manohar Lohia Hospital, Delhi 110001, India

Co-first authors: Himanshu Agrawal and Nikhil Gupta.

Author contributions: Agrawal H contributed to the conceptualization of the study, data collection, and analysis, assisted in writing the initial draft and provided critical revisions to improve the manuscript; Gupta N led the study design and methodology. Oversaw data analysis and interpretation. Coordinated the manuscript preparation and finalized revisions for submission. Corresponded with the journal and handled all communications; Tanwar H participated in data collection and analysis, contributed to literature review, and assisted in drafting and revising sections of the manuscript. Agrawal H and Gupta N contributed equally to this work as co-first authors.

AI contribution statement: AI tools (ChatGPT) were used solely for linguistic refinement and formatting assistance. No AI tool was involved in the generation of research data, interpretation of results, or formulation of conclusions. All AI-generated outputs were critically reviewed and revised by the authors.

Conflict-of-interest statement: The authors declare that they have no conflict of interest.

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

Received: November 2, 2025
Revised: November 24, 2025
Accepted: January 13, 2026
Published online: August 8, 2026
Processing time: 278 Days and 15.3 Hours

Core Tip

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.