no code implementations • 11 May 2022 • Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez, Francisco J. Muñoz-Negrete, Jonne Engelberts, Allison M. Luger, Mark J. J. P. van Grinsven
Background: To determine the ability of a commercially available deep learning system, RetCAD v. 1. 3. 1 (Thirona, Nijmegen, The Netherlands) for the automatic detection of referable diabetic retinopathy (DR) on a dataset of colour fundus images acquired during routine clinical practice in a tertiary hospital screening program, analyzing the reduction of workload that can be released incorporating this artificial intelligence-based technology.