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Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 127380
DOI 10.35712/aig.127380
Country China
Category Gastroenterology & Hepatology
Manuscript Type Minireviews
Article Title Artificial intelligence in functional gastrointestinal disorders: From symptom recognition to personalised management
Manuscript Source Invited Manuscript
All Author List Han-Run Wang and He-Lei Wang
Funding Agency and Grant Number
Corresponding Author He-Lei Wang, Additional Professor, Associate Chief Physician, PhD, Department of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Xinmin Street, Changchun 130021, Jilin Province, China. helei@jlu.edu.cn
Key Words Artificial intelligence; Machine learning; Functional gastrointestinal disorders; Disorders of gut-brain interaction; Irritable bowel syndrome; Functional dyspepsia; Microbiome; Digital phenotyping; Large language models
Core Tip This minireview examines the clinical and translational use of artificial intelligence in adults and children with disorders of gut-brain interaction, especially irritable bowel syndrome and functional dyspepsia. It covers machine-learning phenotyping, microbiome and multi-omics prediction, treatment-response estimation, digital monitoring, wearable signals, natural language processing, and large language models. Evidence is interpreted according to study design, sample size, algorithm, validation, calibration, and clinical endpoint; exploratory performance is not treated as proof of clinical benefit.
Citation Wang HR, Wang HL. Artificial intelligence in functional gastrointestinal disorders: From symptom recognition to personalised management. Artif Intell Gastroenterol 2026; In press
PDF 127380-in-press.pdf
Received
2026-08-28 06:15
Peer-Review Started
2026-08-28 06:16
First Decision by Editorial Office Director
Return for Revision
2026-09-20 06:29
Revised
2026-09-22 06:14
Publication Fee Transferred
Second Decision by Editor
2026-10-13 06:01
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-10-13 10:35
Articles in Press
2026-10-13 10:35
Edit the Manuscript by Language Editor
Typeset the Manuscript
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/
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