Publication Name	World Journal of Gastroenterology
Manuscript ID	111737
Country	Colombia

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: Transforming diagnosis and therapeutic approaches
Manuscript Source	Invited Manuscript
All Author List	Pablo Guillermo Hernández-Almonacid and Ximena Marín-Quintero
Funding Agency and Grant Number
Corresponding Author	Pablo Guillermo Hernández-Almonacid, Consultant, MD, Department of Internal Medicine, National University of Colombia, Kr 35 bis 60-45 A311, Bogota 111311, Colombia. pghernandezalm@gmail.com
Key Words	Metabolic dysfunction-associated steatotic liver disease; Artificial intelligence; Machine learning; Deep learning; Ultrasonography; Digital pathology; Hepatocellular carcinoma; Precision medicine
Core Tip	Artificial intelligence (AI) is redefining the clinical approach to metabolic dysfunction-associated steatotic liver disease (MASLD). In diagnosis, it enhances the detection of steatosis and fibrosis beyond the limits of conventional tools. For prognosis, AI accurately stratifies risk and anticipates complications, consistently demonstrating superior performance. In treatment, it enables personalized interventions and accelerates drug development. By integrating multimodal data, including clinical, imaging, histopathological, and molecular information, AI transforms fragmented data into actionable insights, establishing itself as a cornerstone for the future of MASLD management.
Citation	Hernández-Almonacid PG, Marín-Quintero X. Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: Transforming diagnosis and therapeutic approaches. World J Gastroenterol 2025; In press

Received	2025-07-08 01:34
Peer-Review Started	2025-07-08 01:34
To Make the First Decision
Return for Revision	2025-08-25 07:51
Revised	2025-09-06 19:30
Second Decision	2025-11-24 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-11-24 08:23
Articles in Press	2025-11-24 08:23
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

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