The impact of deep convolutional neural network‐based artificial intelligence on colonoscopy outcomes: A systematic review with meta‐analysis

Background and Aim The utility of artificial intelligence (AI) in colonoscopy has gained popularity in current times. Recent trials have evaluated the efficacy of deep convolutional neural network (DCNN)‐based AI system in colonoscopy for improving adenoma detection rate (ADR) and polyp detection ra...

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Bibliographic Details
Published in:Journal of gastroenterology and hepatology 2020-10, Vol.35 (10), p.1676-1683
Main Authors: Aziz, Muhammad, Fatima, Rawish, Dong, Charles, Lee‐Smith, Wade, Nawras, Ali
Format: Article
Language:English
Subjects:
Adenoma
Artificial intelligence
Clinical trials
Colonoscopy
Colorectal carcinoma
Computers
deep convolutional neural network
high‐definition
Meta-analysis
Neural networks
Systematic review
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