Publication Name	World Journal of Gastroenterology
Manuscript ID	111033
Country	South Korea

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Explainable artificial intelligence for personalized management of inflammatory bowel disease: A minireview of recent advances
Manuscript Source	Invited Manuscript
All Author List	Uchenna E Okpete and Haewon Byeon
Funding Agency and Grant Number	Funding Agency Grant Number National Research Foundation of Korea RS-2023-00237287
Corresponding Author	Haewon Byeon, Associate Professor, Director, PhD, 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
Key Words	Precision medicine; Ulcerative colitis; Crohn’s disease; Heterogeneous population; Machine learning; Interpretability; Feature attribution; Clinical decision-making
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.
Citation	Okpete UE, Byeon H. Explainable artificial intelligence for personalized management of inflammatory bowel disease: A minireview of recent advances. World J Gastroenterol 2025; In press

Received	2025-06-23 13:15
Peer-Review Started	2025-06-23 13:15
To Make the First Decision
Return for Revision	2025-07-10 09:20
Revised	2025-07-21 16:14
Second Decision	2025-08-19 02:43
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-08-19 03:31
Articles in Press	2025-08-19 03:31
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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