Effect of computer‐aided colonoscopy on adenoma miss rates and polyp detection: A systematic review and meta‐analysis

Background and Aim Multiple computer‐aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during colonoscopy and thereby reduce the incidence of colorectal cancer. While adenoma detection rates (ADR) and polyp detection rates (PDR) are importan...

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Bibliographic Details
Published in:	Journal of gastroenterology and hepatology Vol. 38; no. 2; pp. 162 - 176
Main Authors:	Shah, Sagar, Park, Nathan, Chehade, Nabil El Hage, Chahine, Anastasia, Monachese, Marc, Tiritilli, Amelie, Moosvi, Zain, Ortizo, Ronald, Samarasena, Jason
Format:	Journal Article
Language:	English
Published:	Australia Wiley Subscription Services, Inc 01.02.2023
Subjects:	Adenoma Adenoma - diagnosis adenoma detection rate adenoma miss rate Artificial Intelligence Clinical trials Colonic Polyps - pathology Colonoscopy Colonoscopy - methods Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - pathology Computers computer‐aided colonoscopy computer‐aided detection Humans Lesions Meta-analysis Physical characteristics polyp detection rate Polyps Systematic review Tumors adenoma detection rate polyp detection rate colorectal cancer adenoma miss rate computer-aided colonoscopy computer-aided detection artificial intelligence
ISSN:	0815-9319, 1440-1746, 1440-1746
Online Access:	Get full text
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