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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Oct 21, 2025; 31(39): 110971
Published online Oct 21, 2025. doi: 10.3748/wjg.v31.i39.110971
Published online Oct 21, 2025. doi: 10.3748/wjg.v31.i39.110971
Artificial intelligence in pancreatitis: A narrative review on advancing precision diagnosis, prognosis, and therapeutic strategies
Xi-Yue Zhang, Meng-Di Hu, Diliare Maimaitijiang, Tao Wang, West China Center of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, Natural and Biomimetic Medicine Research Center, Tissue-Orientated Property of Chinese Medicine Key Laboratory of Sichuan Province, West China School of Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
Xi-Yue Zhang, Meng-Di Hu, Diliare Maimaitijiang, West China School of Pharmacy, Sichuan University, Chengdu 610041, Sichuan Province, China
Lin Wang, West China School of Nursing, West China School of Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
Co-first authors: Xi-Yue Zhang and Meng-Di Hu.
Co-corresponding authors: Tao Wang and Lin Wang.
Author contributions: Zhang XY and Hu MD contributed equally to this work and are co-first authors of the manuscript. Wang T and Wang L contributed equally to this work and are co-corresponding authors of the manuscript. Wang T and Wang L conceptualized and designed the study, supervised, and made critical revisions; Zhang XY, Hu MD, and Maimaitijiang D conducted the literature review, created the artwork, performed the analysis and data interpretation, and drafted the original manuscript. All authors prepared the draft and approved the submitted version.
Supported by National Natural Science Foundation of China, No. 82000266; and Natural Science Foundation of Sichuan Province, No. 2025ZNSFSC0700.
Conflict-of-interest statement: 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: Tao Wang, PhD, Associate Professor, West China Center of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, Natural and Biomimetic Medicine Research Center, Tissue-Orientated Property of Chinese Medicine Key Laboratory of Sichuan Province, West China School of Medicine, West China Hospital, Sichuan University, No. 2222 Xinchuan Road, Chengdu 610041, Sichuan Province, China.
Received: June 19, 2025
Revised: July 17, 2025
Accepted: September 23, 2025
Published online: October 21, 2025
Processing time: 124 Days and 3.3 Hours
Revised: July 17, 2025
Accepted: September 23, 2025
Published online: October 21, 2025
Processing time: 124 Days and 3.3 Hours
Core Tip
Core Tip: This narrative review summarizes recent advances in artificial intelligence (AI) applications for pancreatitis. It covers AI-enhanced diagnosis through imaging and biomarker analysis, real-time prognostication using machine learning models, and AI-assisted therapeutic innovation, including integration with network pharmacology and traditional Chinese medicine. The review also highlights clinically implemented models and discusses current limitations and future directions for AI deployment in pancreatitis care.