ABSTRACT Introduction: To obtain fundoscopy images through portable and low-cost equipment using artificial intelligence to assess the presence of DR. Methods: Fundus images of diabetic patients’ eyes were obtained by using a smartphone coupled to a device with a 20D lens. By using artificial intelligence (AI), the presence of DR was classified by a binary algorithm. Results: 97 ocular fundoscopy images were evaluated (45 normal and 52 with DR). Through AI diagnostic accuracy around was 70% to 100% in the […]

Purpose: To characterize the population of diabetics referred to the Ophthalmology Department of the Centro Hospitalar do Porto (CHP) from the screening program of ARS Norte, to evaluate this type of screening method and to perceive the its impact in the dynamic of an Ophthalmology Department. Methods: Retrospective evaluation of the clinical processes of diabetic patients referred to the CHP Diabetic Retinopathy (DR) Screening Consultation from the ARS Norte screening program, between January 2012 and December 2016. The variables analyzed […]