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Articles Published Processes
9/6/2021 10:32:49 AM | Browse: 518 | Download: 1115
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Received |
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2021-06-03 20:13 |
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Peer-Review Started |
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2021-06-03 20:16 |
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To Make the First Decision |
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Return for Revision |
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2021-06-23 03:58 |
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Revised |
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2021-07-07 21:32 |
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Second Decision |
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2021-08-13 03:04 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-08-13 06:03 |
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Articles in Press |
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2021-08-13 06:03 |
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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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2021-08-19 00:55 |
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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 |
Minireviews |
| Article Title |
Artificial intelligence as a means to improve recognition of gastrointestinal angiodysplasia in video capsule endoscopy
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Gerald A Cox II, Christian S Jackson and Kenneth J Vega |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Kenneth J Vega, MD, Director, Director, Professor, Division of Gastroenterology and Hepatology, Augusta University - Medical College of Georgia, 1120 15th Street, AD 2226, Augusta, GA 30912, United States. kvega@augusta.edu |
| Key Words |
Artificial intelligence; Video capsule endoscopy; Gastrointestinal angiodysplasia; Detection; Bleeding; Small bowel |
| Core Tip |
Video capsule endoscopy (VCE) is the primary modality to diagnose gastrointestinal angiodysplasias (GIADs). Typically, gastroenterologists rely on VCE to make a diagnosis of GIAD prior to referral for deep enteroscopy. However, VCE analysis can be cumbersome secondary to reader fatigue, suboptimal preparation, and difficulty in distinguishing images. Use of artificial intelligence in VCE has shown improved GIAD detection, however limitations exist that still need to be addressed. The use of artificial intelligence for GIAD diagnosis shows promise and changes needed to enhance current VCE practices are near. |
| Publish Date |
2021-09-06 10:32 |
| Citation |
Cox II GA, Jackson CS, Vega KJ. Artificial intelligence as a means to improve recognition of gastrointestinal angiodysplasia in video capsule endoscopy. Artif Intell Gastrointest Endosc 2021; 2(4): 179-184 |
| URL |
https://www.wjgnet.com/2689-7164/full/v2/i4/179.htm |
| DOI |
https://dx.doi.org/10.37126/aige.v2.i4.179 |
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