Artificial Intelligence (AI) is a revolutionary technology that has the potential to develop into a
widely implemented system that could reduce the dependence on qualified …

Purpose: Retinopathy of prematurity (ROP) is the leading cause of preventable blindness
worldwide especially in low-and middle-income countries (LMICs) where challenges in ROP …

Advances in our understanding of retinopathy of prematurity (ROP) have improved its
management and outcomes (1-12). However, additional research is needed, including our …

Purpose Stage is an important feature to identify in retinal images of infants at risk of
retinopathy of prematurity (ROP). The purpose of this study was to implement a …

Retinopathy of prematurity (ROP) is usually a disease of extremely premature babies. In
developing nations like ours, improvement in neonatal care has led to survival of the …

Retinopathy of prematurity (ROP) is a leading cause of preventable childhood blindness
worldwide. Extremely preterm infants are at risk of developing ROP given their low …

PURPOSE: Artificial intelligence (AI) offers considerable promise for retinopathy of
prematurity (ROP) screening and diagnosis. The development of deep-learning algorithms …

Real-world implementation of artificial intelligence for ROP diagnosis will require massive
efforts targeted at developing standards for data acquisition, true external validation, and …

Retinopathy of prematurity (ROP) is a major cause of childhood blindness, requiring precise
and prompt diagnosis. This paper presents a new method that uses deep convolutional …

Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide,
despite the fact that treatment is available, and blindness can be prevented in most cases …