Diabetic macular edema (DME) is a leading cause of vision loss among people with
diabetes. Optical coherence tomography (OCT) allows for accurate assessment and early …

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

Artificial Intelligence (AI) has long promised to increase healthcare affordability, quality and
accessibility but FDA, until recently, had never authorized an autonomous AI diagnostic …

Purpose: To compare performance of a deep-learning enhanced algorithm for automated
detection of diabetic retinopathy (DR), to the previously published performance of that …

Purpose Age-related macular degeneration (AMD) is a frequent, complex disorder in elderly
of European ancestry. Risk profiles and treatment options have changed considerably over …

Importance More than 60 million people in India have diabetes and are at risk for diabetic
retinopathy (DR), a vision-threatening disease. Automated interpretation of retinal fundus …

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 algorithms have been used to detect diabetic retinopathy (DR) with specialist-
level accuracy. This study aims to validate one such algorithm on a large-scale clinical …

Center-involved diabetic macular edema (ci-DME) is a major cause of vision loss. Although
the gold standard for diagnosis involves 3D imaging, 2D imaging by fundus photography is …

We review the application of artificial intelligence (AI) techniques in the screening,
diagnosis, and classification of diabetic macular edema (DME) by searching six databases …