Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)

Artificial intelligence-based computer-aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect of CADe during screening and surveillance colonoscopy has not previously been studied in a United States (U.S.) population. We conducted a pro...

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Bibliographic Details

Published in:	Clinical gastroenterology and hepatology Vol. 20; no. 7; p. 1499
Main Authors:	Glissen Brown, Jeremy R, Mansour, Nabil M, Wang, Pu, Chuchuca, Maria Aguilera, Minchenberg, Scott B, Chandnani, Madhuri, Liu, Lin, Gross, Seth A, Sengupta, Neil, Berzin, Tyler M
Format:	Journal Article
Language:	English
Published:	United States 01.07.2022
Subjects:	Adenoma Detection Rate Computer-aided Detection Randomized Tandem Colonoscopy Study Adenoma Miss Rate Deep Learning
ISSN:	1542-7714, 1542-7714
Online Access:	Get more information
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