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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Veröffentlicht in:	Journal of gastroenterology and hepatology Jg. 38; H. 2; S. 162 - 176
Hauptverfasser:	Shah, Sagar, Park, Nathan, Chehade, Nabil El Hage, Chahine, Anastasia, Monachese, Marc, Tiritilli, Amelie, Moosvi, Zain, Ortizo, Ronald, Samarasena, Jason
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Australia Wiley Subscription Services, Inc 01.02.2023
Schlagworte:	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-Zugang:	Volltext
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