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Articles Published Processes
12/5/2023 5:09:23 AM | Browse: 221 | Download: 765
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Received |
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2023-07-23 04:33 |
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Peer-Review Started |
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2023-07-23 04:35 |
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To Make the First Decision |
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Return for Revision |
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2023-08-24 07:39 |
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Revised |
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2023-10-10 05:05 |
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Second Decision |
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2023-10-25 02:16 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-10-30 06:15 |
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Articles in Press |
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2023-10-30 06:15 |
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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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2023-12-04 23:23 |
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Publish the Manuscript Online |
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2023-12-05 05:09 |
ISSN |
2644-3260 (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) 2023. 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 |
Clinical Trials Study |
Article Title |
Evaluation of computer aided detection during colonoscopy among Veterans: Randomized clinical trial
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Manuscript Source |
Invited Manuscript |
All Author List |
Mike T Wei, Yu Chen, Susan Y Quan, Jennifer Y Pan, Robert J Wong and Shai Friedland |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Mike T Wei, MD, Doctor, Doctor, Department of Gastroenterology & Hepatology, Stanford university Medical Center, 300 Pasteur Drive, Palo Alto, CA 94305, United States. mtwei@stanford.edu |
Key Words |
Colonoscopy; Colorectal cancer prevention; Artificial intelligence; Computer aided detection; Adenoma detection rate |
Core Tip |
While several randomized controlled trials have demonstrated improved adenoma detection rate (ADR) and APC with use of computer aided detection (CADe), in this RCT performed by endoscopists with high ADR, use of CADe was found to be associated with decreased adenomas per colonoscopy, ADR, as well as serrated polyp detection rate. The results of this study suggest that CADe may not be the right tool for every endoscopist. Further studies are needed to understand the impact of CADe on performance quality among endoscopists as well as determine criteria for endoscopists to consider when choosing to adopt CADe in their practices. |
Publish Date |
2023-12-05 05:09 |
Citation |
Wei MT, Chen Y, Quan SY, Pan JY, Wong RJ, Friedland S. Evaluation of computer aided detection during colonoscopy among Veterans: Randomized clinical trial. Artif Intell Med Imaging 2023; 4(1): 1-9 |
URL |
https://www.wjgnet.com/2644-3260/full/v4/i1/1.htm |
DOI |
https://dx.doi.org/10.35711/aimi.v4.i1.1 |
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