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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastroenterol. Sep 28, 2025; 6(2): 110109
Published online Sep 28, 2025. doi: 10.35712/aig.v6.i2.110109
Published online Sep 28, 2025. doi: 10.35712/aig.v6.i2.110109
Artificial intelligence in gastroenterology: Enhancing clinical practice, managing challenges and exploring future directions
Arjuna Priyadarsin De Silva, Krishanni Prabagar, Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama 11010, Western, Sri Lanka
Author contributions: De Silva AP conceptualized and supervised the study, provided critical revisions for important intellectual content, and guided the overall structure of the manuscript; Prabagar K conducted the literature review, performed the analysis, interpreted the data, and drafted the original manuscript; Both authors prepared the final draft and approved the submitted version.
Conflict-of-interest statement: The authors declare no 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: Arjuna Priyadarsin De Silva, Professor, Department of Medicine, Faculty of Medicine, University of Kelaniya, Thalagolla Road, Ragama 11010, Western, Sri Lanka. apdsilva@yahoo.com
Received: May 29, 2025
Revised: June 16, 2025
Accepted: September 10, 2025
Published online: September 28, 2025
Processing time: 122 Days and 9 Hours
Revised: June 16, 2025
Accepted: September 10, 2025
Published online: September 28, 2025
Processing time: 122 Days and 9 Hours
Core Tip
Core Tip: Artificial intelligence (AI) is being applied across a range of gastrointestinal conditions from cancer and liver disease to functional disorders and is driving the development of new tools in digital health. It has demonstrated equal or superior efficiency compared with humans in diagnostic accuracy, treatment planning, and healthcare delivery. However, several important challenges remain, including data privacy concerns, limited transparency of algorithms, inherent biases, and difficulties integrating AI into traditional clinical workflows. Addressing these issues is essential for clinicians to fully benefit from AI and for its continued development in the field.