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Articles Published Processes
12/28/2021 7:56:01 AM | Browse: 294 | Download: 663
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Received |
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2021-04-27 19:50 |
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Peer-Review Started |
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2021-04-28 06:19 |
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To Make the First Decision |
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Return for Revision |
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2021-05-19 21:05 |
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Revised |
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2021-07-02 15:52 |
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Second Decision |
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2021-11-16 03:29 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-11-18 06:42 |
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Articles in Press |
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2021-11-18 06:42 |
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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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2021-12-28 06:02 |
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Publish the Manuscript Online |
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2021-12-28 07:56 |
| 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 in polyp detection - where are we and where are we headed?
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Kristen E Dougherty, Vatche J Melkonian and Grace A Montenegro |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Grace A Montenegro, FACS, MD, MS, Assistant Professor, Surgeon, Department of Surgery, St. Louis University Hospital, 1008 S. Spring Avenue, SLUCare Academic Pavilion, Saint Louis, MO 63110, United States. grace.montenegro@health.slu.edu |
| Key Words |
Neural networks; Computer aided detection; Artificial intelligence in colonoscopy and polyp detection; Artificial intelligence in adenoma detection |
| Core Tip |
Use of computer aided detection (CADe) in colonoscopy has been shown to increase polyp and adenoma detection rates compared to standard high-definition colonoscopy with little added procedure time. Additionally, CADe have been built to increase quality of screening colonoscopy. These advantages and features have been demonstrated in blinded and non-blinded randomized controlled trials. |
| Publish Date |
2021-12-28 07:56 |
| Citation |
Dougherty KE, Melkonian VJ, Montenegro GA. Artificial intelligence in polyp detection - where are we and where are we headed? Artif Intell Gastrointest Endosc 2021; 2(6): 211-219 |
| URL |
https://www.wjgnet.com/2689-7164/full/v2/i6/211.htm |
| DOI |
https://dx.doi.org/10.37126/aige.v2.i6.211 |
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