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12/28/2021 7:56:01 AM | Browse: 195 | Download: 294
Publication Name Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID 67534
Country/Territory United States
Received
2021-04-27 19:50
Peer-Review Started
2021-04-28 06:19
To Make the First Decision
Return for Revision
2021-05-19 21:05
Revised
2021-07-02 15:52
Second Decision
2021-11-16 03:29
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-11-18 06:42
Articles in Press
2021-11-18 06:42
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2021-12-28 06:02
Publish the Manuscript Online
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
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 Minireviews
Article Title Artificial intelligence in polyp detection - where are we and where are we headed?
Manuscript Source Invited Manuscript
All Author List Kristen E Dougherty, Vatche J Melkonian and Grace A Montenegro
ORCID
Author(s) ORCID Number
Kristen E Dougherty http://orcid.org/0000-0002-2714-9062
Vatche J Melkonian http://orcid.org/0000-0001-8111-5923
Grace A Montenegro http://orcid.org/0000-0002-4443-4893
Funding Agency and Grant Number
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
Full Article (PDF) AIGE-2-211.pdf
Full Article (Word) AIGE-2-211.docx
Manuscript File 67534_Auto_Edited-A.docx
Answering Reviewers 67534-Answering reviewers.pdf
Audio Core Tip 67534-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 67534-Conflict-of-interest statement.pdf
Copyright License Agreement 67534-Copyright license agreement.pdf
Peer-review Report 67534-Peer-review(s).pdf
Scientific Misconduct Check 67534-Bing-Wang JL-1.jpg
Scientific Misconduct Check 67534-Bing-Liu M-2.png
Scientific Editor Work List 67534-Scientific editor work list.pdf