©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
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, 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.
Corresponding author: Wai K Leung, MD, Professor, Department of Medicine, Queen Mary Hospital, University of Hong Kong, 102 Pokfulam Road, Hong Kong, China. waikleung@hku.hk
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
Processing time: 111 Days and 12.3 Hours
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
Processing time: 111 Days and 12.3 Hours
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.