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4/28/2021 2:31:45 PM | Browse: 32 | Download: 19
Publication Name Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID 66020
Country/Territory Singapore
Received
2021-03-19 09:18
Peer-Review Started
2021-03-19 09:22
To Make the First Decision
Return for Revision
2021-03-26 03:46
Revised
2021-03-27 13:59
Second Decision
2021-04-19 08:09
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-04-20 05:01
Articles in Press
2021-04-20 05:01
Publication Fee Transferred
Edit the Manuscript by Language Editor
2021-04-28 01:25
Typeset the Manuscript
2021-04-28 09:01
Publish the Manuscript Online
2021-04-28 12:41
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
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 Colonoscopy and artificial intelligence: Bridging the gap or a gap needing to be bridged?
Manuscript Source Invited Manuscript
All Author List James Weiquan Li and Tiing Leong Ang
Funding Agency and Grant Number
Corresponding Author Tiing Leong Ang, FASGE, FRCP, MBBS, Chief Physician, Professor, Department of Gastroenterology and Hepatology, Changi General Hospital, 2 Simei Street 3, Singapore 529889, Singapore. ang.tiing.leong@singhealth.com.sg
Key Words Artificial intelligence; Endoscopy; Colonoscopy; Detection; Diagnosis
Core Tip The use of artificial intelligence (AI) for colonoscopy has been studied most extensively for polyp detection and characterization. Despite advances made in this field, AI systems studied for these purposes represent only the machine learning domain of AI, and individual machine learning algorithms used in these studies are each focused on performing a very narrow task. While they may bridge existing gaps in polyp detection and real-time optical diagnosis of colorectal polyps, the introduction of AI into colonoscopy will also mean that there are new gaps which must be bridged for AI systems to be routinely used in clinical practice.
Publish Date 2021-04-28 12:41
Citation Ang TL, Li JW. Colonoscopy and artificial intelligence: Bridging the gap or a gap needing to be bridged? Artif Intell Gastrointest Endosc 2021; 2(2): 36-49
URL https://www.wjgnet.com/2689-7164/full/v2/i2/36.htm
DOI https://dx.doi.org/10.37126/aige.v2.i2.36
Full Article (PDF) AIGE-2-36.pdf
Full Article (Word) AIGE-2-36.docx
Manuscript File 66020-Review-FilipodiaCL.docx
Answering Reviewers 66020-Answering reviewers.pdf
Audio Core Tip 66020-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 66020-Conflict-of-interest statement.pdf
Copyright License Agreement 66020-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 66020-Language certificate.pdf
Peer-review Report 66020-Peer-review(s).pdf
Scientific Misconduct Check 66020-Scientific misconduct check.pdf
Scientific Editor Work List 66020-Scientific editor work list.pdf