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Articles Published Processes
8/4/2021 7:56:20 AM | Browse: 783 | Download: 833
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Received |
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2021-01-28 04:41 |
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Peer-Review Started |
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2021-01-28 04:50 |
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To Make the First Decision |
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Return for Revision |
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2021-05-02 02:26 |
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Revised |
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2021-05-12 18:54 |
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Second Decision |
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2021-07-16 05:05 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2021-07-16 07:29 |
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Articles in Press |
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2021-07-16 07:29 |
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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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2021-07-30 02:29 |
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Publish the Manuscript Online |
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2021-08-04 07:56 |
| 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 in colonoscopy
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Joel Joseph, Ella Marie LePage, Catherine Phillips Cheney and Rishi Pawa |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Rishi Pawa, MBBS, Doctor, Department of Internal Medicine, Section of Gastroenterology and Hepatology, Wake Forest Baptist Medical Center, Medical Center Blvd, Winston-Salem, NC 27157, United States. rpawa@wakehealth.edu |
| Key Words |
Colonoscopy; Artificial intelligence; Computer-aided detection; Detection; Characterization; Computer-aided diagnosis |
| Core Tip |
The rapidly evolving field of artificial intelligence (AI) has found many applications in the field of colonoscopy. Specifically, we describe the technologies that have been developed to detect and characterize colonic polyps with the goal of real-time analysis as well as minimizing the risks of avoidable polypectomies. Additionally, we discuss some of the future directions of AI in this area including advancements in robotic technology. |
| Publish Date |
2021-08-04 07:56 |
| Citation |
Joseph J, LePage EM, Cheney CP, Pawa R. Artificial intelligence in colonoscopy. World J Gastroenterol 2021; 27(29): 4802-4817 |
| URL |
https://www.wjgnet.com/1007-9327/full/v27/i29/4802.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v27.i29.4802 |
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
