Background Diabetic retinopathy (DR), whose standard diagnosis is performed by human
experts, has high prevalence and requires a more efficient screening method. Although …

Retinal diseases are a leading cause of blindness in developed countries, accounting for
the largest share of visually impaired children, working-age adults (inherited retinal …

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

Due to the increasing prevalence of diabetes mellitus, demand for diabetic retinopathy (DR)
screening platforms is steeply increasing. Early detection and treatment of DR are key public …

This paper concerns the validation of automatic retinal image analysis (ARIA) algorithms.
For reasons of space and consistency, we concentrate on the validation of algorithms …

Artificial intelligence is a general term that means to accomplish a task mainly by a
computer, with the least human beings participation, and it is widely accepted as the …

Diabetic retinopathy (DR) is an eye disease that victimize the people suffering from diabetes
from many years. The severe form of DR results in form of the blindness that can initially be …

Contributors The following document and appendices represent the third edition of the
Practice Guidelines for Ocular Telehealth-Diabetic Retinopathy. These guidelines were …

IN BRIEF Diabetic retinopathy is one of the most prevalent but preventable blinding
diseases in the United States. This article reviews the pathophysiology of diabetic …

Diabetic Retinopathy Telehealth Practice Recommendations Working Group Second Edition
Editorial Committee: Helen K. Li, MD (Chair), Mark Horton, OD, MD (Co-chair), Sven-Erik …