Adenoma detection rate is not influenced by the time of day in computer-aided detection colonoscopy

Shan Lei(Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital), Pu Wang(Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital), Guanyu Zhou(Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital), Mengtian Tu(Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital), Xiaogang Liu(Tongji University), Liangping Li(First Affiliated Hospital of Jinan University), Xun Xiao(Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital), Peixi Liu(Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital), Lei Lei(Southern Medical University), Zhilan Wang
Medicine
December 17, 2020
10.1097/md.0000000000023685
Cited by 10

Related Papers

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study
|Gut|2019|817
Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy
|Nature Biomedical Engineering|2018|491
Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study
|˜The œLancet. Gastroenterology & hepatology|2020|404
Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study
|Gastroenterology|2020|216
Effectiveness of Omega-3 Polyunsaturated Fatty Acids in Non-Alcoholic Fatty Liver Disease: A Meta-Analysis of Randomized Controlled Trials
|PLoS ONE|2016|135