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©The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Hepatol. Jan 27, 2026; 18(1): 111902
Published online Jan 27, 2026. doi: 10.4254/wjh.v18.i1.111902
Published online Jan 27, 2026. doi: 10.4254/wjh.v18.i1.111902
Harnessing artificial intelligence in gastroenterology and hepatology: Current applications and future perspectives
Panagiotis Boutos, Georgios Katsanos, Nikolaos Antoniadis, Georgios Tsoulfas, Department of Transplantation Surgery, Center for Research and Innovation in Solid Organ Transplantation, Aristotle University School of Medicine, Thessaloniki 54642, Kentrikí Makedonía, Greece
Konstantina-Eleni Karakasi, Athanasios Kofinas, Department of Transplantation Surgery, Center for Research and Innovation in Solid Organ Transplantation, Aristotle University of Thess
Co-corresponding authors: Panagiotis Boutos and Georgios Tsoulfas.
Author contributions: Boutos P and Tsoulfas G conceived the study concept and supervised the overall research, they contributed equally to this article, they are the co-corresponding authors of this manuscript; Boutos P designed the methodology, conducted the primary analysis, and drafted the initial manuscript; Karakasi KE contributed to data collection and assisted in literature review; Katsanos G and Antoniadis N participated in statistical analysis and interpretation of results; Kofinas A contributed to data curation and critical revisions of the manuscript; Tsoulfas G provided senior supervision, critical intellectual input, and final approval of the manuscript; and all authors thoroughly reviewed and endorsed the final manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Panagiotis Boutos, Department of Transplantation Surgery, Center for Research and Innovation in Solid Organ Transplantation, Aristotle University School of Medicine, Konstantinoupoleos 49, Thessaloniki 54642, Kentrikí Makedonía, Greece.
Received: July 14, 2025
Revised: August 29, 2025
Accepted: December 2, 2025
Published online: January 27, 2026
Processing time: 198 Days and 19.1 Hours
Revised: August 29, 2025
Accepted: December 2, 2025
Published online: January 27, 2026
Processing time: 198 Days and 19.1 Hours
Core Tip
Core Tip: This article presents a structured overview of artificial intelligence (AI) in gastroenterology and hepatology, integrating fundamental concepts with real-world clinical applications. By aligning AI tools with each stage of the patient journey, we highlight how AI can enhance prevention, diagnosis, treatment, and follow-up. We also discuss challenges related to trustworthiness, including interpretability, generalisability, and ethics. Through practical examples and original visual frameworks, this article aims to guide clinicians and researchers in understanding, evaluating, and responsibly implementing AI technologies in digestive and liver healthcare.