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Articles Published Processes
9/6/2021 10:32:49 AM | Browse: 529 | Download: 981
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Received |
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2021-06-05 20:43 |
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Peer-Review Started |
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2021-06-05 20:47 |
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To Make the First Decision |
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Return for Revision |
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2021-06-18 05:27 |
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Revised |
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2021-06-21 00:46 |
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Second Decision |
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2021-07-23 03:20 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-07-23 06:54 |
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Articles in Press |
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2021-07-23 06:54 |
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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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2021-08-30 07:24 |
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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 and colonoscopy − enhancements and improvements
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Manuscript Source |
Invited Manuscript |
All Author List |
Byung Soo Yoo, Steve M D'Souza, Kevin Houston, Ankit Patel, James Lau, Alsiddig Elmahdi, Parth J Parekh and David Johnson |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
David Johnson, FACG, FACP, FASGE, MD, Chief Doctor, Full Professor, Division of Gastroenterology, Department of Internal Medicine, Eastern Virginia Medical School, 886 Kempsville Road Suite 114, Norfolk, VA 23505, United States. dajevms@aol.com |
Key Words |
Artificial intelligence; Colon polyp; Adenoma detection rate; Dysplasia; Inflammatory bowel disease; Colon preparation |
Core Tip |
The application of artificial intelligence (AI) in medicine and gastroenterology has demonstrated to date, broad utility in both disease diagnostics and management. The utility of AI in colonoscopy has recently demonstrated enhanced polyp detection and characterization, assessment for mucosal healing and identification of dysplasia associated with inflammatory bowel disease, as well as assessment of the quality of bowel preparation for colonoscopy. |
Publish Date |
2021-09-06 10:32 |
Citation |
Yoo BS, D'Souza SM, Houston K, Patel A, Lau J, Elmahdi A, Parekh PJ, Johnson D. Artificial intelligence and colonoscopy − enhancements and improvements. Artif Intell Gastrointest Endosc 2021; 2(4): 157-167 |
URL |
https://www.wjgnet.com/2689-7164/full/v2/i4/157.htm |
DOI |
https://dx.doi.org/10.37126/aige.v2.i4.157 |
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