Publication Name	World Journal of Gastroenterology
Manuscript ID	111900
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Artificial intelligence applications for managing metabolic dysfunction-associated steatotic liver disease: Current status and future prospects
Manuscript Source	Invited Manuscript
All Author List	Jian-Jun Lou and Jing Zeng
Funding Agency and Grant Number	Funding Agency Grant Number Shanghai Pujiang Program No. 24PJD071 National Natural Science Foundation of China No. 82100605 Star Program of Shanghai Jiao Tong University No. YG2021QN54
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
Key Words	Metabolic dysfunction-associated steatotic liver disease; Artificial intelligence; Multiomics integration; Early screening; Risk stratification; Disease monitoring; Machine learning; Clinical decision support
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.
Citation	Lou JJ, Zeng J. Artificial intelligence applications for managing metabolic dysfunction-associated steatotic liver disease: Current status and future prospects. World J Gastroenterol 2025; In press

Received	2025-07-14 03:21
Peer-Review Started	2025-07-14 03:21
To Make the First Decision
Return for Revision	2025-09-12 07:16
Revised	2025-10-07 13:10
Second Decision	2025-11-05 02:43
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-11-05 06:16
Articles in Press	2025-11-05 06:16
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Typeset the Manuscript

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