Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	105682
Country	Algeria

Received	2025-02-05 02:36
Peer-Review Started	2025-02-05 02:36
To Make the First Decision
Return for Revision	2025-02-19 07:38
Revised	2025-04-05 13:53
Second Decision	2025-05-23 02:46
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-05-24 01:04
Articles in Press	2025-05-24 01:04
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-05-28 02:59
Publish the Manuscript Online	2025-06-06 09:35

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: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright	The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Precision medicine in celiac disease: A step ahead
Manuscript Source	Invited Manuscript
All Author List	Hakim Rahmoune, Nada Boutrid and Isra Benchoufi
Funding Agency and Grant Number
Corresponding Author	Hakim Rahmoune, Assistant Professor, MD, LIRSSEI Research Laboratory, Faculty of Medicine, University of Setif-1, Setif 19000, Setif, Algeria. rahmounehakim@gmail.com
Key Words	Artificial intelligence; Precision medicine; Machine learning; Electronic medical records; Celiac disease
Core Tip	Advances in precision medicine, powered by artificial intelligence (AI), machine learning (ML) and deep learning (DL), are transforming the diagnosis and management of celiac disease (CD). By integrating histopathologic features, genetic data, and electronic medical records (EMRs), these technologies enable accurate disease classification, risk prediction, and personalized treatment strategies. ML and DL models have demonstrated high accuracy in predicting CD severity, while EMR-based approaches facilitate tailored dietary and therapeutic interventions. These innovations underscore the potential of AI-driven methodologies to enhance patient outcomes and revolutionize the clinical approach to CD.
Publish Date	2025-06-06 09:35
Citation	<p>Rahmoune H, Boutrid N, Benchoufi I. Precision medicine in celiac disease: A step ahead. <i>Artif Intell Gastroenterol</i> 2025; 6(1): 105682</p>
URL	https://www.wjgnet.com/2644-3236/full/v6/i1/105682.htm
DOI	https://dx.doi.org/10.35712/aig.v6.i1.105682

Full Article (PDF)	AIG-6-105682-with-cover.pdf
Manuscript File	105682_Auto_Edited_070150.docx
Answering Reviewers	105682-answering-reviewers.pdf
Audio Core Tip	105682-audio.wav
Conflict-of-Interest Disclosure Form	105682-conflict-of-interest-statement.pdf
Copyright License Agreement	105682-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	105682-non-native-speakers.pdf
Peer-review Report	105682-peer-reviews.pdf
Scientific Misconduct Check	105682-scientific-misconduct-check.png
Scientific Editor Work List	105682-scientific-editor-work-list.pdf
CrossCheck Report	105682-crosscheck-report.pdf