AI breakthrough in detecting leading cause of childhood blindness

Childhood blindness: AI program may help detect condition

Researchers say an artificial intelligence program may help detect retinopathy of prematurity, the leading cause of childhood blindness, in infants

AI may help spot newborns at risk for most severe form of blinding disease

An artificial intelligence (AI) device that has been fast-tracked for approval by the Food and Drug Administration may help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP). AP-ROP is the most severe form of ROP.

Revolutionary AI Tool Developed to Diagnose Childhood Blindness

Learn about groundbreaking AI tool using deep learning to identify retinopathy of prematurity to prevent childhood blindness.

AI breakthrough in detecting leading cause of childhood blindness

The UCL-Moorfields team have developed a deep learning AI model to screen for ROP, which was trained on a sample of 7,414 images of the eyes of 1,370 newborns who had been admitted to the Homerton Hospital, London, and assessed for ROP by ophthalmologists.

Artificial Intelligence Identifies Infants at Risk of Blinding Disease

Researchers have developed a deep learning AI tool that can automate the diagnostics of retinopathy of prematurity (ROP), a leading cause of childhood blindness. The tool was found to be as effective as senior pediatric ophthalmologists in discriminating normal retinal images from those with ROP that could lead to blindness, and the researchers hope it will improve access to care in underserved areas and prevent blindness in thousands of newborn…

AI breakthrough in detecting leading cause of childhood blindness

An artificial intelligence (AI) tool could be an effective way of identifying retinopathy of prematurity (ROP), the leading cause of childhood blindness in middle-income countries, finds a new study led by UCL and Moorfields Eye Hospital researchers.