Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Sep 21, 2020; 26(35): 5248-5255
Published online Sep 21, 2020. doi: 10.3748/wjg.v26.i35.5248
Is artificial intelligence the final answer to missed polyps in colonoscopy?
Thomas K L Lui, Wai K Leung
Thomas K L Lui, Wai K Leung, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, China
Author contributions: Lui TKL contributed to drafting of manuscript; Leung WK contributed to critical review of manuscript.
Conflict-of-interest statement: There is no conflict of interest associated with any of the senior author or other coauthors contributed their efforts in this manuscript.
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:
Corresponding author: Wai K Leung, MD, Professor, Department of Medicine, Queen Mary Hospital, University of Hong Kong, 102 Pokfulam Road, Hong Kong, China.
Received: May 28, 2020
Peer-review started: May 28, 2020
First decision: June 18, 2020
Revised: June 30, 2020
Accepted: August 26, 2020
Article in press: August 26, 2020
Published online: September 21, 2020
Core Tip

Core Tip: This review highlights the results of recent studies on the use of artificial intelligence for the detection of colorectal polyps and its role in reducing missed lesions during colonoscopy.