The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …

Rising prevalence of diabetes worldwide has necessitated the implementation of population-
based diabetic retinopathy (DR) screening programs that can perform retinal imaging and …

Purpose To discuss the effects of the severe acute respiratory syndrome coronavirus 2
betacoronavirus on ambulatory ophthalmology practices, the value proposition of …

Importance There has been wide interest in using artificial intelligence (AI)–based grading of
retinal images to identify diabetic retinopathy, but such a system has never been deployed …

Prior art on automated screening of diabetic retinopathy and direct referral decision shows
promising performance; yet most methods build upon complex hand-crafted features whose …

Diagnosis and detection of progression of glaucoma remains challenging. Artificial
intelligence–based tools have the potential to improve and standardize the assessment of …

Background Diabetic retinopathy (DR) is the leading cause of blindness among working-age
adults worldwide. Early detection and treatment are necessary to forestall vision loss from …

Objective Automatic diabetic retinopathy screening system based on neural networks has
been used to detect diabetic retinopathy (DR). However, there is no quantitative synthesis of …

The current COVID-19 pandemic has boosted a sudden demand for telemedicine due to
quarantine and travel restrictions. The exponential increase in the use of telemedicine is …

With ever-growing prevalence of diabetes mellitus and its most common microvascular
complication diabetic retinopathy (DR) in Indian population, screening for DR early for …