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Articles Published Processes
9/6/2021 10:32:48 AM | Browse: 370 | Download: 816
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Received |
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2021-04-28 21:10 |
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Peer-Review Started |
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2021-04-28 21:12 |
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To Make the First Decision |
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Return for Revision |
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2021-06-13 15:17 |
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Revised |
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2021-06-27 19:49 |
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Second Decision |
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2021-08-16 03:24 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2021-08-16 08:51 |
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Articles in Press |
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2021-08-16 08:51 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-09-02 08:28 |
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Typeset the Manuscript |
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2021-09-03 04:49 |
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Publish the Manuscript Online |
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2021-09-06 10:32 |
| ISSN |
2689-7164 (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 |
Opinion Review |
| Article Title |
Artificial intelligence assisted assessment of endoscopic disease activity in inflammatory bowel disease
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Bobby Lo and Johan Burisch |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Bobby Lo, MD, Doctor, Gastrounit, Medical Section, Copenhagen University Hospital Hvidovre, Kettegård Alle 30
, Hvidovre 2650, Denmark. bobby_lo@protonmail.com |
| Key Words |
Inflammatory bowel disease; Artificial intelligence; Deep learning; Endoscopy; Disease severity; Machine learning |
| Core Tip |
Artificial intelligence (AI) is on the rise in inflammatory bowel diseases (IBD). Endoscopic evaluation is so far the most studied modality with promising results. Studies with others or the combination of several modalities have been done with moderate results leaving room for future research. Data availability and standardization of the reporting of these new models seem to be the biggest challenges for the AI's breakthrough within IBD. International consensus in the field is required to optimize research in artificial intelligence. |
| Publish Date |
2021-09-06 10:32 |
| Citation |
Lo B, Burisch J. Artificial intelligence assisted assessment of endoscopic disease activity in inflammatory bowel disease. Artif Intell Gastrointest Endosc 2021; 2(4): 95-102 |
| URL |
https://www.wjgnet.com/2689-7164/full/v2/i4/95.htm |
| DOI |
https://dx.doi.org/10.37126/aige.v2.i4.95 |
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California Corporate Number: 3537345
