Skip to main content

Artificial Intelligence Identifies Infants at Risk of Blinding Disease

This is a drawing of an eyeResearchers 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 newborns worldwide.

from Neuroscience News https://ift.tt/Gn5Vcmi

Comments

Popular posts from this blog

Reading Minds to Understand Human Tool Use

Combining brain imaging data with machine learning, researchers make new discoveries about how the brain controls the hand. The findings could lead to the development of more advanced neuroprosthetics. from Neuroscience News https://ift.tt/3tv7BbC

Rethinking the Link Between Cannabinoids and Learning

Disrupted cannabinoid signaling impairs learning by altering behavioral states. from Neuroscience News https://ift.tt/2Hrmr0g