The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …

The understanding, diagnosis, and treatment of retinopathy of prematurity have changed in
the 70 years since the original description of retrolental fibroplasia associated with high …

Purpose: This study describes the initial development of a deep learning algorithm, ROP. AI,
to automatically diagnose retinopathy of prematurity (ROP) plus disease in fundal images …

Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The
diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area …

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

Importance Published definitions of plus disease in retinopathy of prematurity (ROP)
reference arterial tortuosity and venous dilation within the posterior pole based on a …

Background: Retinopathy of prematurity (ROP) is a disease of the retinal vasculature that
remains a leading cause of childhood blindness worldwide despite improvements in the …

Purpose To identify patterns of interexpert discrepancy in plus disease diagnosis in
retinopathy of prematurity (ROP). Design We developed 2 datasets of clinical images as part …

Purpose To determine expert agreement on relative retinopathy of prematurity (ROP)
disease severity and whether computer-based image analysis can model relative disease …

Artificial intelligence (AI) and machine learning (ML) have entered several avenues of
modern life, and health care is just one of them. Ophthalmology is a field with a lot of …