Publication Name	World Journal of Hepatology
Manuscript ID	124997
Country	Egypt

Category	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Artificial intelligence in autoimmune liver diseases: Diagnosis, risk stratification, and personalized care
Manuscript Source	Invited Manuscript
All Author List	Ahmed Salman
Funding Agency and Grant Number
Corresponding Author	Ahmed Salman, FRACP, FRCP, Department of Internal Medicine, Kasr Alainy School of Medicine, 1 Al-Saray Street, Al-Manial, Cairo 11562, Egypt. awea844@gmail.com
Key Words	Artificial intelligence; Machine learning; Deep learning; Autoimmune hepatitis; Primary biliary cholangitis; Primary sclerosing cholangitis; Autoimmune liver disease; Precision medicine; Digital pathology; Large language models
Core Tip	Artificial intelligence can be used to quantify images and combine multimodal data in autoimmune liver disease; however, most models remain investigational. The best-supported evidence currently comes from externally validated differential diagnosis models for autoimmune hepatitis, established machine learning prognostic tools for primary sclerosing cholangitis, and treatment response models for primary biliary cholangitis. However, these tools require local validation and monitoring during clinical testing. Clinicians should seek calibration, comparison with current care, decision curve benefit, and subgroup performance; however, the area under the curve alone is insufficient. No current model supports autonomous diagnosis or changes in therapy or surveillance without guideline-based clinical judgment.
Citation	Salman A. Artificial intelligence in autoimmune liver diseases: Diagnosis, risk stratification, and personalized care. World J Hepatol 2026; In press

Received	2026-06-29 09:43
Peer-Review Started	2026-06-29 09:43
First Decision by Editorial Office Director
Return for Revision	2026-07-28 07:09
Revised	2026-08-05 08:45
Publication Fee Transferred
Second Decision by Editor	2026-09-17 02:42
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-09-17 09:38
Articles in Press	2026-09-17 09:38
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5182 (online)
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.
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