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 …

Purpose To evaluate the performance of a deep learning (DL) algorithm for retinopathy of
prematurity (ROP) screening in Nepal and Mongolia. Design Retrospective analysis of …

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

Purpose The primary objective of this study was to develop and validate an AI algorithm as a
screening tool for the detection of retinopathy of prematurity (ROP). Participants Images …

Purpose: Our group has demonstrated the performance of the i-ROP Deep Learning (DL)
system for retinopathy of prematurity (ROP) telemedicine screening programs in Nepal and …

Purpose: Primary and secondary prevention for retinopathy of prematurity (ROP) are
challenging in low-and middle-income countries (LMIC) like India. Primary prevention …

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

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 …

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 one of the main causes of childhood blindness.
However, insufficient ophthalmologists are qualified for ROP screening. The objective of this …