Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	127488
DOI	10.35712/aig.127488
Country	Lebanon

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Role of artificial intelligence in irritable bowel syndrome: A narrative review
Manuscript Source	Invited Manuscript
All Author List	Iyad A Issa and Taly Issa
Funding Agency and Grant Number
Corresponding Author	Iyad A Issa, MD, Faculty of Health Sciences, Lebanese University, Hadath, Beirut 0000, Beyrouth, Lebanon. iyadissa71@gmail.com
Key Words	Artificial intelligence; Machine learning; Irritable bowel syndrome; Disorders of gut-brain interaction; Gut microbiome; Natural language processing; Digital health; Personalized medicine
Core Tip	Enthusiasm for artificial intelligence in irritable bowel syndrome has outpaced its evidence base. Across diagnosis, microbiota subtyping and treatment prediction, the supporting studies are small, single-center and largely externally unvalidated; a 2025 systematic review found only six eligible studies and could not pool them. Several widely repeated capabilities - machine-learning analysis of longitudinal symptom data, and of psychological comorbidity - have no peer-reviewed IBS evidence that we were able to identify. The field’s priority should therefore shift from developing further models toward standardized data collection, multi-center external validation, and reporting against artificial intelligence-specific standards.
Citation	Issa IA, Issa T. Role of artificial intelligence in irritable bowel syndrome: A narrative review. Artif Intell Gastroenterol 2026; In press DOI: https://doi.org/10.35712/aig.127488
PDF	127488-in-press.pdf

Received	2026-09-02 08:35
Peer-Review Started	2026-09-02 08:36
First Decision by Editorial Office Director
Return for Revision	2026-09-16 08:02
Revised	2026-09-18 13:38
Publication Fee Transferred
Second Decision by Editor	2026-10-27 03:59
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-10-28 10:48
Articles in Press	2026-10-28 10:48
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3236 (online)
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