Recent studies have revealed that deep learning systems can achieve highly accurate, personalised grading of diabetic retinopathy by effectively integrating clinical workflows.

A deep learning system can accurately detect vision-threatening diabetic retinopathy, demonstrating specialist-level diagnostic performance.

A novel AI-powered retina tracker can analyze retinal images with near-perfect accuracy in under one second, according to a study presented at ENDO 2025, the Endocrine Society's annual meeting in San ...

Diabetic retinopathy (DR), a severe microvascular complication of diabetes mellitus, poses a significant global health threat with its rising prevalence amidst the diabetes pandemic. As the leading ...