Mehta Y, Mehta S, Bhayani V, Parikh S, Mehta R. Gastroenterology in the age of artificial intelligence: Bridging technology and clinical practice. World J Gastroenterol 2025; 31(36): 110549 [DOI: 10.3748/wjg.v31.i36.110549]
Corresponding Author of This Article
Rajiv Mehta, MD, Doctor, Department of Gastroenterology, SIDS Hospital and Research Centre, Khatodra Bamroli Road, Near Shell Petrol Pump, Majuragate, Surat 395002, Gujarat, India. rajivmehta@sidshospital.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
Yagna Mehta, Department of Chemical Engineering, Nirma University, Ahemdabad 382481, Gujarat, India
Saumya Mehta, Carnegie Learning, Pittsburgh, PA 15219, United States
Vishwa Bhayani, University of Missouri, Columbia, MO 65211, United States
Sankalp Parikh, Rajiv Mehta, Department of Gastroenterology, SIDS Hospital and Research Centre, Surat 395002, Gujarat, India
Author contributions: Mehta Y and Bhayani V reviewed the literature and wrote the initial draft of the manuscript; Mehta S, Parikh S, and Mehta R reviewed and edited the manuscript; All authors have read and approved the final manuscript.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
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: Rajiv Mehta, MD, Doctor, Department of Gastroenterology, SIDS Hospital and Research Centre, Khatodra Bamroli Road, Near Shell Petrol Pump, Majuragate, Surat 395002, Gujarat, India. rajivmehta@sidshospital.com
Received: June 9, 2025 Revised: July 14, 2025 Accepted: August 21, 2025 Published online: September 28, 2025 Processing time: 102 Days and 16 Hours
Core Tip
Core Tip: Artificial intelligence (AI) is transforming gastroenterology and hepatology by enhancing diagnostic accuracy, enabling personalized therapy, and accelerating drug discovery. This review highlights key AI applications such as real-time polyp detection, predictive modeling in inflammatory bowel disease, and early risk stratification in acute pancreatitis. AI also supports drug repurposing, de novo molecule design, and formulation optimization through absorption, distribution, metabolism, excretion, and toxicity profiling. In hepatology, AI facilitates remote monitoring and guides complex cancer care via tumor boards. Educational tools like GastroAGI (AI-powered learning in gastroenterology) further extend its impact. Addressing data quality, interpretability, and ethical challenges is essential for integrating AI into clinical practice.
