Abstract
This project evaluates the accuracy and concordance of artificial intelligence (AI) algorithms in classifying diabetic retinopathy (DR) and diagnosing arterial hypertension (AH) in Brazilian patients from diverse ethnic backgrounds using portable retinal camera images. The study aims to validate AI models, identify ethnic and demographic biases, and propose solutions to promote greater eq…