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4/24/2022 7:32:05 AM | Browse: 303 | Download: 404
Publication Name World Journal of Gastroenterology
Manuscript ID 73711
Country Denmark
Received
2021-12-01 08:12
Peer-Review Started
2021-12-01 08:14
To Make the First Decision
Return for Revision
2021-12-26 18:25
Revised
2022-01-07 11:28
Second Decision
2022-03-07 06:06
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-03-16 09:26
Articles in Press
2022-03-16 09:26
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-04-13 02:48
Publish the Manuscript Online
2022-04-24 07:32
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: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2022. 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 & Hepatology
Manuscript Type Letter to the Editor
Article Title Comment on “Artificial intelligence in gastroenterology: A state-of-the-art review”
Manuscript Source Unsolicited Manuscript
All Author List Thomas Bjørsum-Meyer, Anastasios Koulaouzidis and Gunnar Baatrup
ORCID
Author(s) ORCID Number
Thomas Bjørsum-Meyer http://orcid.org/0000-0001-5253-0802
Anastasios Koulaouzidis http://orcid.org/0000-0002-2248-489X
Gunnar Baatrup http://orcid.org/0000-0003-0300-5766
Funding Agency and Grant Number
Corresponding Author Thomas Bjørsum-Meyer, MD, PhD, Associate Professor, Surgeon, Department of Surgery, Odense University Hospital, Baagøes Alle 15, Svendborg 5700, Denmark. thomas.bjoersum-meyer@rsyd.dk
Key Words Video capsule endoscopy; Wireless capsule endoscopy; Artificial intelligence; Colonic polyps; Endoscopic surgical procedures; Colon neoplasm
Core Tip Colon capsule endoscopy (CCE) generates a vast amount of image material-currently, this material must be assessed manually. Artificial intelligence (AI) as an adjunct to CCE has been reported as having high accuracy for detecting colonic lesions. Future studies need to evaluate AI algorithms for estimating the likelihood of neoplasia and predicting which patients are most likely to benefit from CCE. Onboard capsule intelligence has the potential to generate result reports immediately after completed examinations.
Publish Date 2022-04-24 07:32
Citation Bjørsum-Meyer T, Koulaouzidis A, Baatrup G. Comment on “Artificial intelligence in gastroenterology: A state-of-the-art review”. World J Gastroenterol 2022; 28(16): 1722-1724
URL https://www.wjgnet.com/1007-9327/full/v28/i16/1722.htm
DOI https://dx.doi.org/10.3748/wjg.v28.i16.1722
Full Article (PDF) WJG-28-1722.pdf
Full Article (Word) WJG-28-1722.docx
Manuscript File 73711_Auto_Edited.docx
Answering Reviewers 73711-Answering reviewers.pdf
Audio Core Tip 73711-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 73711-Conflict-of-interest statement.pdf
Copyright License Agreement 73711-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 73711-Language certificate.pdf
Peer-review Report 73711-Peer-review(s).pdf
Scientific Misconduct Check 73711-Bing-Fan JR-2.png
Scientific Editor Work List 73711-Scientific editor work list.pdf