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9/17/2020 1:56:13 AM | Browse: 129 | Download: 157
Publication Name World Journal of Gastroenterology
Manuscript ID 57198
Country/Territory China
2020-05-28 13:35
Peer-Review Started
2020-05-28 13:36
To Make the First Decision
Return for Revision
2020-06-18 04:57
2020-06-30 12:46
Second Decision
2020-08-25 03:01
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-08-25 22:03
Articles in Press
2020-08-25 22:03
Publication Fee Transferred
Edit the Manuscript by Language Editor
2020-08-30 19:27
Typeset the Manuscript
2020-09-11 06:46
Publish the Manuscript Online
2020-09-17 01:56
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) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Gastroenterology and Hepatology
Manuscript Type Minireviews
Article Title Is artificial intelligence the final answer to missed polyps in colonoscopy?
Manuscript Source Invited Manuscript
All Author List Thomas KL Lui and Wai K Leung
Author(s) ORCID Number
Thomas KL Lui http://orcid.org/0000-0002-2986-3681
Wai K Leung http://orcid.org/0000-0002-5993-1059
Funding Agency and Grant Number
Corresponding Author Wai K Leung, MD, Professor, Department of Medicine, Queen Mary Hospital, University of Hong Kong, 102 Pokfulam Road, Hong Kong N/A, China. waikleung@hku.hk
Key Words Artificial intelligence; Adenoma; Colonoscopy; Colorectal cancer; Polyps;
Core Tip This review highlights the results of recent studies on the use of artificial intelligence for the detection of colorectal polyps and its role in reducing missed lesions during colonoscopy.
Publish Date 2020-09-17 01:56
Citation Lui TKL, Leung WK. Is artificial intelligence the final answer to missed polyps in colonoscopy? World J Gastroenterol 2020; 26(35): 5248-5255
URL https://www.wjgnet.com/1007-9327/full/v26/i35/5248.htm
DOI https://dx.doi.org/10.3748/wjg.v26.i35.5248
Full Article (PDF) WJG-26-5248.pdf
Full Article (Word) WJG-26-5248.docx
Manuscript File 57198-Review-Filipodia.docx
Answering Reviewers 57198-Answering reviewers.pdf
Audio Core Tip 57198-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 57198-Conflict-of-interest statement.pdf
Copyright License Agreement 57198-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 57198-Language certificate.pdf
Peer-review Report 57198-Peer-review(s).pdf
Scientific Misconduct Check 57198-Scientific misconduct check.pdf
Scientific Editor Work List 57198-Scientific editor work list.pdf