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

Aziz, Muhammad, Fatima, Rawish, Dong, Charles et al. (2020). The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: A systematic review with meta-analysis . Journal of Gastroenterology and Hepatology, 35(10), 1676-1683. 10.1111/jgh.15070

cited authors

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

sustainable development goals

authors

publication date

  • October 1, 2020

published in

keywords

  • COLORECTAL-CANCER
  • DETECTION RATES
  • Gastroenterology & Hepatology
  • Life Sciences & Biomedicine
  • QUALITY
  • RISK
  • Science & Technology
  • artificial intelligence
  • colonoscopy
  • deep convolutional neural network
  • high-definition

Digital Object Identifier (DOI)

publisher

  • WILEY

start page

  • 1676

end page

  • 1683

volume

  • 35

issue

  • 10