Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	124329
DOI	10.35712/aig.124329
Country	Malaysia

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: A short narrative review of diagnostic and therapeutic implications
Manuscript Source	Invited Manuscript
All Author List	Mona Mohamed Ibrahim Abdalla, Fabian Davamani and Nabil Eid
Funding Agency and Grant Number
Corresponding Author	Nabil Eid, Associate Professor, MD, PhD, Department of Human Biology, School of Medicine, IMU University, Bukit Jalil, Kuala Lumpur 57000, Malaysia. nabilsaleheid@imu.edu.my
Key Words	Metabolic dysfunction-associated steatotic liver disease; Artificial intelligence; Machine learning; Liver fibrosis; Digital pathology; Precision hepatology
Core Tip	Artificial intelligence (AI) can integrate clinical records, radiological imaging, digital histology, and molecular data to support metabolic dysfunction-associated steatotic liver disease detection and risk stratification. Evidence is strongest for retrospective identification, imaging-based classification, and reproducible histological quantification. In contrast, AI-guided treatment selection, lifestyle personalization, and therapeutic monitoring remain investigational. This review distinguishes clinically proximate applications from exploratory and preclinical uses and identifies the validation, fairness, implementation, and outcome requirements for responsible clinical translation.
Citation	Abdalla MMI, Davamani F, Eid N. Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: A short narrative review of diagnostic and therapeutic implications. Artif Intell Gastroenterol 2026; In press DOI: https://doi.org/10.35712/aig.124329
PDF	124329-in-press.pdf

Received	2026-06-15 02:10
Peer-Review Started	2026-06-15 02:11
First Decision by Editorial Office Director
Return for Revision	2026-07-22 08:52
Revised	2026-08-04 11:50
Publication Fee Transferred
Second Decision by Editor	2026-09-09 02:32
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-09-09 10:23
Articles in Press	2026-09-09 10:23
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3236 (online)
Open Access	Open-Access: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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