Single retinal image for diabetic retinopathy screening: performance of a handheld device with embedded artificial intelligence.

ABSTRACT:

Background

Diabetic retinopathy (DR) is a leading cause of blindness. Our objective was to evaluate the performance of an artificial intelligence (AI) system integrated into a handheld smartphone-based retinal camera for DR screening using a single retinal image per eye.

Methods

Images were obtained from individuals with diabetes during a mass screening program for DR in Blumenau, Southern Brazil, conducted by trained operators. Automatic analysis was conducted using an AI system (EyerMaps™, Phelcom Technologies LLC, Boston, USA) with one macula-centered, 45-degree field of view retinal image per eye. The results were compared to the assessment by a retinal specialist, considered as the ground truth, using two images per eye. Patients with ungradable images were excluded fro

SUBMITTER: Penha FM 

PROVIDER: S-EPMC10332010 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature