Artificial intelligence applications in inflammatory bowel disease: Emerging technologies and future directions
John Gubatan, Steven Levitte, Akshar Patel, Tatiana Balabanis, Mike T Wei, Sidhartha R Sinha, Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Redwood City, CA 94063, United States
Author contributions: Gubatan J organized and led the literature review; Levitte S, Balabanis T and Patel A performed the primary literature and data extraction; Gubatan J reviewed literature search results and extracted data for inclusion; Gubatan J drafted the manuscript; Wei MT and Sinha SR provided critical review of the manuscript; all authors interpreted the results and contributed to critical review of the manuscript; Gubatan J had full access to the study data and takes responsibility for the integrity of the data and accuracy of the analysis.
Supported by Chan Zuckerberg Biohub Physician Scientist Scholar Award; and National Institutes of Health NIDDK Loan Repayment Program Award, No. GTQR5718.
Conflict-of-interest statement: The authors have no conflicts of interests or financial disclosures relevant to this manuscript.
: 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: http://creativecommons.org/Licenses/by-nc/4.0/
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. firstname.lastname@example.org
Received: January 26, 2021
Peer-review started: January 26, 2021
First decision: February 27, 2021
Revised: March 4, 2021
Accepted: April 13, 2021
Article in press: April 13, 2021
Published online: May 7, 2021