Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global
interest in recent years. DL has been widely adopted in image recognition, speech …

The incidence of retinopathy of prematurity (ROP) continues to rise due to the improved
survival of very low birth weight infants in developed countries. This epidemic is also fueled …

OBJECTIVES: Childhood blindness from retinopathy of prematurity (ROP) is increasing as a
result of improvements in neonatal care worldwide. We evaluate the effectiveness of artificial …

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 …

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 …

Retinopathy of prematurity (ROP) is a leading cause of preventable childhood blindness
worldwide. Barriers to ROP screening and difficulties with subsequent evaluation and …

Purpose Generative adversarial networks (GANs) are deep learning (DL) models that can
create and modify realistic-appearing synthetic images, or deepfakes, from real images. The …

Background/Aim To automatically detect and classify the early stages of retinopathy of
prematurity (ROP) using a deep convolutional neural network (CNN). Methods This …

Purpose To identify the most common areas for discrepancy in retinopathy of prematurity
(ROP) classification between experts. Design Prospective cohort study. Participants A total …

Background This study assessed the impact of distance cataract surgical wet laboratory
training on surgical competency of ophthalmology residents at a tertiary-level ophthalmic …