Eur J Gastroenterol Hepatol 2021 May 21. Epub 2021 May 21.
Department of Internal Medicine 1, Division of Gastroenterology, Ludwig Demling Endoscopy Center of Excellence, Friedrich-Alexander-University, Erlangen-Nuernberg, Germany Department of Gastroenterology, Physiopathology and Endoscopy of the Gastrointestinal Tract, Central Hospital Bolzano, Bolzano, Italy Gastroenterology Outpatient Clinic, Altötting Department of Internal Medicine 3, Division of Gastroenterology, Klinikum Aschaffenburg, Aschaffenburg, Germany Department of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, The Netherlands.
Aim: The use of artificial intelligence represents an objective approach to increase endoscopist's adenoma detection rate (ADR) and limit interoperator variability. In this study, we evaluated a newly developed deep convolutional neural network (DCNN) for automated detection of colorectal polyps ex vivo as well as in a first in-human trial.
Methods: For training of the DCNN, 116 529 colonoscopy images from 278 patients with 788 different polyps were collected. Read More