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Articles Published Processes
11/27/2020 9:27:48 AM | Browse: 503 | Download: 999
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Received |
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2020-08-31 17:11 |
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Peer-Review Started |
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2020-08-31 17:12 |
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To Make the First Decision |
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Return for Revision |
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2020-09-24 18:24 |
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Revised |
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2020-10-24 19:40 |
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Second Decision |
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2020-11-10 12:04 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-11-12 21:34 |
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Articles in Press |
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2020-11-12 21:34 |
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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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2020-11-20 06:00 |
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Publish the Manuscript Online |
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2020-11-27 09:27 |
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) 2020. 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 |
Emerging use of artificial intelligence in inflammatory bowel disease
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Manuscript Source |
Invited Manuscript |
All Author List |
Arushi Kohli, Erik A Holzwanger and Alexander N Levy |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Alexander N Levy, MD, Assistant Professor, Attending Doctor, Division of Gastroenterology and Hepatology, Tufts Medical Center, 800 Washington Street, Box 233, Boston , MA 02111, United States. alevy@tuftsmedicalcenter.org |
Key Words |
Artificial intelligence; Machine learning; Automated diagnostics; Colorectal neoplasia screening; Multiomic data; Predictive models |
Core Tip |
Artificial intelligence (AI) is a novel technological advancement that is rapidly growing in the field of inflammatory bowel disease. The use of AI and machine learning has been shown to aid in diagnosing and understanding severity of disease, predicting treatment response along with likelihood of disease recurrence and assisting with colorectal neoplasia screening in this patient population. Further studies are needed to understand the full impact AI may have on improving Crohn’s disease and ulcerative colitis patient outcomes. |
Publish Date |
2020-11-27 09:27 |
Citation |
Kohli A, Holzwanger EA, Levy AN. Emerging use of artificial intelligence in inflammatory bowel disease. World J Gastroenterol 2020; 26(44): 6923-6928 |
URL |
https://www.wjgnet.com/1007-9327/full/v26/i44/6923.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v26.i44.6923 |
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