Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	107105
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Advancing the diagnosis and treatment of metabolic-associated steatotic liver disease: The transformative role of artificial intelligence
Manuscript Source	Invited Manuscript
All Author List	Yu-Ning Gao, Mei-Ling Chen, Wen-Mao Li, Qing Liu and Yan Jiao
Funding Agency and Grant Number
Corresponding Author	Yan Jiao, Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, No. 1 Xinmin Street, Changchun 130021, Jilin Province, China. lagelangri1@126.com
Key Words	Metabolic-associated steatotic liver disease; Artificial intelligence; Non-invasive diagnosis; Liver fibrosis; Personalized treatment
Core Tip	Artificial intelligence (AI) is revolutionizing the diagnosis and treatment of metabolic-associated steatotic liver disease (MASLD) by enhancing diagnostic accuracy, enabling non-invasive assessments, and guiding personalized treatment strategies. Despite challenges such as data integration, model interpretability, and cost-effectiveness, AI has the potential to improve early detection, facilitate targeted interventions, and ultimately enhance patient outcomes in MASLD care.
Citation	Gao YN, Chen ML, Li WM, Liu Q, Jiao Y. Advancing the diagnosis and treatment of metabolic-associated steatotic liver disease: The transformative role of artificial intelligence. Artif Intell Gastroenterol 2025; In press

Received	2025-03-16 05:54
Peer-Review Started	2025-03-16 05:55
To Make the First Decision
Return for Revision	2025-03-22 01:34
Revised	2025-04-03 00:50
Second Decision	2025-04-16 02:49
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-04-16 08:50
Articles in Press	2025-04-16 08:50
Publication Fee Transferred
Edit the Manuscript by Language Editor	2025-04-17 01:16
Typeset the Manuscript

ISSN	2644-3236 (online)
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: http://creativecommons.org/licenses/by-nc/4.0/
Copyright	©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com