Using artificial intelligence (AI) to its transformative advantage, the smart vision initiative
represents a paradigm shift in the diagnostics and treatment of diabetic retinopathy. The …

Diabetic retinopathy is a leading cause of vision loss in the United States and globally,
particularly among working-aged individuals. Diabetic retinopathy meets all the criteria for …

Deep learning evolves into a new form of machine learning technology that is classified
under artificial intelligence (AI), which has substantial potential for large-scale healthcare …

Abstract Purpose of Review This paper systematically reviews the recent progress in
diabetic retinopathy screening. It provides an integrated overview of the current state of …

Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and
vasculature reflect the body's micro-and macrovascular health. They can be used to …

Diabetic Retinopathy (DR), a common complication of diabetes, is a leading cause of
blindness. Early detection is important to prevent vision loss. This study explores the …

Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes
lesions on the retina that effect vision. If it is not detected early, it can lead to blindness …

Diabetic Retinopathy (DR) represents a highly-prevalent complication of diabetes in which
individuals suffer from damage to the blood vessels in the retina. The disease manifests …

The incidence of diabetic retinopathy (DR) has increased at a rapid pace in recent years all
over the world. Diabetic eye illness is identified as one of the most common reasons for …

Progress in artificial intelligence and tele-ophthalmology for diabetic retinopathy screening,
including artificial intelligence applications in 'real-world settings' and cost-effectiveness …