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Publication Name World Journal of Gastrointestinal Endoscopy
Manuscript ID 93466
Country United States
Category Gastroenterology & Hepatology
Manuscript Type Retrospective Study
Article Title Long-term impact of artificial intelligence on colorectal adenoma detection in high-risk colonoscopy
Manuscript Source Unsolicited Manuscript
All Author List Kenneth W Chow, Matthew T Bell, Nicholas Cumpian, Maryanne Amour, Ryan H Hsu, Viktor E Eysselein, Neetika Srivastava, Michael W Fleischman and Sofiya Reicher
Funding Agency and Grant Number
Corresponding Author Kenneth W Chow, MD, Doctor, Researcher, Department of Medicine, Harbor-UCLA Medical Center, 1000 W Carson Street , Torrance, CA 90502, United States. kwchow555@gmail.com
Key Words Artificial intelligence; Colonoscopy; Adenoma detection rate; Screening; Colorectal adenoma
Core Tip This study analyzed the long-term impact of artificial intelligence (AI)-assisted colonoscopy in a diverse at-risk patient population undergoing diagnostic colonoscopy for positive colorectal cancer (CRC) screening tests or symptoms. It was found that in patients with an increased pre-test probability of having an abnormal colonoscopy, the current generation of AI did not yield enhanced screening metrics over high-quality colonoscopy. Future studies that analyze different AI systems across various patient populations are needed to determine the most effective role of AI in optimizing CRC screening in clinical practice.
Citation Chow KW, Bell MT, Cumpian N, Amour M, Hsu RH, Eysselein VE, Srivastava N, Fleischman MW, Reicher S. Long-term impact of artificial intelligence on colorectal adenoma detection in high-risk colonoscopy. World J Gastrointest Endosc 2024; In press
Received
2024-02-28 01:35
Peer-Review Started
2024-02-28 01:35
To Make the First Decision
Return for Revision
2024-04-08 20:25
Revised
2024-04-16 21:44
Second Decision
2024-04-28 02:37
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2024-04-28 08:17
Articles in Press
2024-04-28 08:17
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1948-5190 (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) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
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