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7/6/2021 9:59:54 AM | Browse: 445 | Download: 872
Publication Name Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID 68727
Country/Territory United States
Received
2021-06-02 02:10
Peer-Review Started
2021-06-02 02:13
To Make the First Decision
Return for Revision
2021-06-18 05:40
Revised
2021-06-20 20:07
Second Decision
2021-06-28 12:34
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-06-28 12:58
Articles in Press
2021-06-28 12:58
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2021-07-02 07:59
Publish the Manuscript Online
2021-07-06 09:59
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 Utility of artificial intelligence in colonoscopy
Manuscript Source Invited Manuscript
All Author List Niel Shah, Abhilasha Jyala, Harish Patel and Jasbir Makker
ORCID
Author(s) ORCID Number
Niel Shah http://orcid.org/0000-0001-7459-0099
Abhilasha Jyala http://orcid.org/0000-0002-3685-1697
Harish Patel http://orcid.org/0000-0003-3638-9495
Jasbir Makker http://orcid.org/0000-0002-1673-8515
Funding Agency and Grant Number
Corresponding Author Harish Patel, MD, Attending Doctor, Department of Internal Medicine, Gastroenterology, BronxCare Hospital Center, 1650 Grand Concourse , Bronx, NY 10457, United States. hpatel@bronxcare.org
Key Words Artificial intelligence; Colonoscopy; Colorectal cancer; Inflammatory bowel disease; Adenoma detection rate; Adenoma
Core Tip Artificial intelligence (AI) pertains to performance of intelligent tasks like human beings by computer-controlled machines. Machine learning, one of the most important and fundamental principles of AI, essentially means automatically using the available data to learn and make decisions without human intervention. AI based detection models have been developed for polyp detection and to differentiate malignant from nonmalignant lesions. It has been also utilized to analyze endoscopic images for inflammatory bowel disease diagnosis, grading its severity and predicting treatment response.
Publish Date 2021-07-06 09:59
Citation Shah N, Jyala A, Patel H, Makker J. Utility of artificial intelligence in colonoscopy. Artif Intell Gastrointest Endosc 2021; 2(3): 79-88
URL https://www.wjgnet.com/2689-7164/full/v2/i3/79.htm
DOI https://dx.doi.org/10.37126/aige.v2.i3.79
Full Article (PDF) AIGE-2-79.pdf
Full Article (Word) AIGE-2-79.docx
Manuscript File 68727_Auto_Edited-ZMG.docx
Answering Reviewers 68727-Answering reviewers.pdf
Audio Core Tip 68727-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 68727-Conflict-of-interest statement.pdf
Copyright License Agreement 68727-Copyright license agreement.pdf
Peer-review Report 68727-Peer-review(s).pdf
Scientific Misconduct Check 68727-Bing-Liu M-1.png
Scientific Misconduct Check 68727-Bing-Liu M-2.png
Scientific Misconduct Check 68727-Scientific misconduct check.pdf
Scientific Editor Work List 68727-Scientific editor work list.pdf