Precision medicine in celiac disease: A step ahead

doi:10.35712/aig.v6.i1.105682

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Jun 8, 2025 (publication date) through Jun 6, 2025

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Artificial Intelligence in Gastroenterology

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2644-3236

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Artif Intell Gastroenterol. Jun 8, 2025; 6(1): 105682
Published online Jun 8, 2025. doi: 10.35712/aig.v6.i1.105682

Precision medicine in celiac disease: A step ahead

Hakim Rahmoune, Nada Boutrid, Isra Benchoufi

Hakim Rahmoune, Nada Boutrid, LIRSSEI Research Laboratory, Faculty of Medicine, University of Setif-1, Setif 19000, Algeria

Hakim Rahmoune, Department of Pediatrics, Setif University Hospital, Setif 19000, Algeria

Nada Boutrid, Department of Pediatrics, El Eulma Mother and Child Hospital, El Eulma 19000, Setif, Algeria

Isra Benchoufi, Department of Artificial Intelligence, National School of Artificial Intelligence, Algiers 16000, Alger, Algeria

Author contributions: Rahmoune H and Boutrid N contributed to conceptualization; Rahmoune H contributed to data curation; Boutrid B contributed to supervision and validation; Boutrid N Benchoufi I contributed to writing-original draft, review and editing.

Conflict-of-interest statement: The authors have nothing to disclose.

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/

Corresponding author: Hakim Rahmoune, MD, Assistant Professor, LIRSSEI Research Laboratory, Faculty of Medicine, University of Setif-1, Setif 19000, Algeria. rahmounehakim@gmail.com

Received: February 5, 2025
Revised: April 5, 2025
Accepted: May 24, 2025
Published online: June 8, 2025
Processing time: 123 Days and 17.3 Hours

Core Tip

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.