Automated diabetic retinopathy detection with two different retinal imaging devices using artificial intelligence: a comparison study

In this study, we evaluated the diagnostic performance of an automated artificial intelligence-based diabetic retinopathy (DR) algorithm with two retinal imaging systems using two different technologies: a conventional flash fundus camera and a white LED confocal scanner.