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Articles Published Processes
4/29/2021 2:12:02 AM | Browse: 346 | Download: 563
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Received |
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2021-01-26 05:12 |
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Peer-Review Started |
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2021-01-26 05:17 |
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To Make the First Decision |
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Return for Revision |
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2021-02-27 06:46 |
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Revised |
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2021-03-04 21:43 |
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Second Decision |
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2021-04-13 10:35 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2021-04-13 18:40 |
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Articles in Press |
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2021-04-13 18:40 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2021-04-20 00:48 |
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Publish the Manuscript Online |
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2021-04-29 02:12 |
| ISSN |
1007-9327 (print) and 2219-2840 (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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence applications in inflammatory bowel disease: Emerging technologies and future directions
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| Manuscript Source |
Invited Manuscript |
| All Author List |
John Gubatan, Steven Levitte, Akshar Patel, Tatiana Balabanis, Mike T Wei and Sidhartha R Sinha |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Chan Zuckerberg Biohub Physician Scientist Scholar Award |
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| National Institutes of Health NIDDK Loan Repayment Program Award |
GTQR5718 |
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| 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. |
| Publish Date |
2021-04-29 02:12 |
| 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 |
| URL |
https://www.wjgnet.com/1007-9327/full/v27/i17/1920.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v27.i17.1920 |
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