Publication Name	World Journal of Gastroenterology
Manuscript ID	62738
Country	United States

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Artificial intelligence applications in inflammatory bowel disease: Emerging technologies and future directions
Manuscript Source	Invited Manuscript
All Author List	John Gubatan, Steven Levitte, Akshar Patel, Tatiana Balabanis, Mike T Wei and Sidhartha R Sinha
Funding Agency and Grant Number	Funding Agency Grant Number Chan Zuckerberg Biohub Physician Scientist Scholar Award National Institutes of Health NIDDK Loan Repayment Program Award GTQR5718
Corresponding Author	John Gubatan, MD, Academic Research, Consultant Physician-Scientist, Postdoctoral Fellow, Division of Gastroenterology and Hepatology, Stanford University School of Medicine, 420 Broadway Street Pavilion D, 2nd Floor, Redwood City, CA 94063, United States. jgubatan@stanford.edu
Key Words	Artificial intelligence; Machine learning; Inflammatory bowel disease; Crohn’s disease; Ulcerative colitis; Clinical outcomes
Core Tip	The application of artificial intelligence (AI) in the field of inflammatory bowel disease (IBD) has grown significantly in the past decade. AI has been used to analyze genomic datasets, construct IBD risk prediction models, and increase IBD diagnosis precision. Machine learning has been used to analyze endoscopic images to improve disease severity grading. AI has enabled the integration of large clinical and laboratory datasets with gene expression profiles to predict clinical outcomes such as therapy response. Future studies will need to validate these findings in independent cohorts and determine whether applying these AI-derived prediction models improves clinical outcomes in IBD.
Citation	Gubatan J, Levitte S, Patel A, Balabanis T, Wei MT, Sinha SR. Artificial intelligence applications in inflammatory bowel disease: Emerging technologies and future directions. World J Gastroenterol 2021; 27(17): 1920-1935

Received	2021-01-26 05:12
Peer-Review Started	2021-01-26 05:17
To Make the First Decision
Return for Revision	2021-02-27 06:46
Revised	2021-03-04 21:43
Second Decision	2021-04-13 10:35
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-04-13 18:40
Articles in Press	2021-04-13 18:40
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2021-04-20 00:48

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