The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: A systematic review with meta-analysis Article (Faculty180)

cited authors

  • Aziz, Muhammad; Fatima, Rawish; Dong, Charles; Lee-Smith, Wade; Nawras, Ali

description

  • 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 rate (PDR). We performed a systematic review and meta-analysis of the available studies to assess the impact of DCNN-based AI-assisted colonoscopy in improving the ADR and PDR.

authors

publication date

  • 2020

published in

start page

  • 1676

end page

  • 1683

volume

  • 35