Thanks to the work of NEI scientists and grantees, we’re constantly learning new information about the causes and treatment of vision disorders. Get the latest updates about their work — along with other news about NEI.
Scientists have developed an artificial intelligence system that can analyze eye scans taken during a routine visit to an optician or eye clinic and identify patients at a high risk of a heart attack.
National Eye Institute researchers developed and validated an artificial-intelligence-based method to evaluate patients with Stargardt, an eye disease that can lead to childhood vision loss.
Researchers UC San Diego discover that persistency allows value signals to be most effectively represented, or “coded,” across different areas of the brain.
New biomarkers found in the eyes could unlock the key to helping manage diabetic retinopathy, and perhaps even diabetes, according to new research conducted at the Indiana University School of Optometry.
Tiarnan Keenan, NEI Division of Epidemiology and Clinical Applications, and colleagues found that people with age-related macular degeneration (AMD) can successfully use the Notal Home OCT device to monitor their disease.
A new combination of optical coherence tomography (OCT), adaptive optics and deep neural networks should enable better diagnosis and monitoring for neuron-damaging eye and brain diseases like glaucoma.
Training neural networks to perform tasks, such as recognizing images or navigating self-driving cars, could one day require less computing power and hardware thanks to a new artificial neuron device.
Researchers from UW Medicine have found that artificial intelligence-based screening algorithms to diagnose diabetic retinopathy do not perform as well as they claim.
