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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Sep 21, 2025; 31(35): 111033
Published online Sep 21, 2025. doi: 10.3748/wjg.v31.i35.111033
Published online Sep 21, 2025. doi: 10.3748/wjg.v31.i35.111033
Explainable artificial intelligence for personalized management of inflammatory bowel disease: A minireview of recent advances
Uchenna E Okpete, Department of Digital Anti-aging Healthcare, Inje University, Gimhae 50834, South Korea
Haewon Byeon, Worker’s Care and Digital Health Lab, Department of Future Technology, Korea University of Technology and Education, Cheonan 31253, South Korea
Author contributions: Okpete UE and Byeon H contributed to writing the article; Byeon H designed the study; Okpete UE was involved in data interpretation and developed the methodology; all authors thoroughly reviewed and endorsed the final manuscript.
Supported by National Research Foundation of Korea, No. RS-2023-00237287.
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: Haewon Byeon, PhD, Associate Professor, Director, Worker’s Care and Digital Health Lab, Department of Future Technology, Korea University of Technology and Education, 1600, Chungjeol-ro, Cheonan 31253, South Korea. bhwpuma@naver.com
Received: June 23, 2025
Revised: July 21, 2025
Accepted: August 19, 2025
Published online: September 21, 2025
Processing time: 89 Days and 9.3 Hours
Revised: July 21, 2025
Accepted: August 19, 2025
Published online: September 21, 2025
Processing time: 89 Days and 9.3 Hours
Core Tip
Core Tip: Personalized management of inflammatory bowel disease is essential because of its heterogeneous clinical presentations and variable treatment responses. While artificial intelligence (AI) offers powerful tools for analyzing patient data and guiding treatment, many AI models lack transparency, which limits their clinical adoption. Explainable AI addresses this issue by making AI predictions more interpretable and trustworthy. This minireview highlights recent advancements in the application of explainable AI to inflammatory bowel disease management, including its use in predicting disease progression, selecting therapies, and monitoring treatment response.