Publication Name	World Journal of Gastroenterology
Manuscript ID	89525
Country	Italy

Category	Gastroenterology & Hepatology
Manuscript Type	Evidence Review
Article Title	May ChatGPT be a tool producing medical information for common inflammatory bowel disease patients’ questions? An evidence-controlled analysis
Manuscript Source	Invited Manuscript
All Author List	Antonietta Gerarda Gravina, Raffaele Pellegrino, Marina Cipullo, Giovanna Palladino, Giuseppe Imperio, Andrea Ventura, Salvatore Auletta, Paola Ciamarra and Alessandro Federico
Funding Agency and Grant Number
Corresponding Author	Raffaele Pellegrino, MD, N/A, N/A, Division of Hepatogastroenterology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Via L. de Crecchio, Naples 80138, Italy. raffaele.pellegrino@unicampania.it
Key Words	Crohn’s disease; Ulcerative colitis; Inflammatory bowel disease; Chat Generative Pre-trained Transformer; Large language model; Artificial intelligence
Core Tip	Patients with inflammatory bowel disease (IBD) increasingly access information resources online to receive information about disease management. Emerging artificial intelligence (AI) systems such as Chat Generative Pre-trained Transformer (ChatGPT) are taking hold in the daily reality of many patients with IBD. Through them, patients can potentially understand these systems as reliable or substitutes for medical consultation, especially for issues about reluctantly talking to their gastroenterologist. This review, examining ChatGPT’s outputs to common questions from patients with IBD, outlined how, while this AI system can provide some medical information, there are some limitations related to poor updating and the risk of inaccuracies that push for its cautious use.
Citation	Gravina AG, Pellegrino R, Cipullo M, Palladino G, Imperio G, Ventura A, Auletta S, Ciamarra P, Federico A. May ChatGPT be a tool producing medical information for common inflammatory bowel disease patients’ questions? An evidence-controlled analysis. World J Gastroenterol 2024; 30(1): 17-33

Received	2023-11-04 07:10
Peer-Review Started	2023-11-04 07:12
To Make the First Decision
Return for Revision	2023-11-30 05:32
Revised	2023-12-07 16:09
Second Decision	2023-12-28 02:42
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2023-12-28 05:10
Articles in Press	2023-12-28 05:10
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-01-03 22:30

ISSN	1007-9327 (print) and 2219-2840 (online)
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