©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Dec 21, 2025; 31(47): 111900
Published online Dec 21, 2025. doi: 10.3748/wjg.v31.i47.111900
Published online Dec 21, 2025. doi: 10.3748/wjg.v31.i47.111900
Artificial intelligence applications for managing metabolic dysfunction-associated steatotic liver disease: Current status and future prospects
Jian-Jun Lou, Chronic Liver Disease Center, The Affiliated Yangming Hospital of Ningbo University (Yuyao People's Hospital), Ningbo 315400, Zhejiang Province, China
Jing Zeng, Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
Author contributions: Lou JJ designed the overall concept and outline of the manuscript; Lou JJ and Zeng J contributed to this paper, the writing, and editing the manuscript.
Supported by Shanghai Pujiang Program, No. 24PJD071; National Natural Science Foundation of China, No. 82100605; and Star Program of Shanghai Jiao Tong University, No. YG2021QN54.
Conflict-of-interest statement: The authors declare no competing financial interests.
Corresponding author: Jing Zeng, MD, Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai 200092, China. zjupup@126.com
Received: July 14, 2025
Revised: October 7, 2025
Accepted: November 5, 2025
Published online: December 21, 2025
Processing time: 160 Days and 17.9 Hours
Revised: October 7, 2025
Accepted: November 5, 2025
Published online: December 21, 2025
Processing time: 160 Days and 17.9 Hours
Core Tip
Core Tip: Artificial intelligence (AI) is rapidly advancing the management of metabolic dysfunction-associated steatotic liver disease (MASLD). Because AI can integrate imaging, multiomics, and electronic health record data, the use of AI enables earlier diagnosis, more accurate risk stratification, and personalized treatment. This mini-review summarizes recent progress and future directions for applying AI to improve MASLD care and outcomes.