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NEI Research News

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.

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AI makes retinal imaging 100 times faster, compared to manual method

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is 100 times faster and improves image contrast 3.5-fold.

AI has perfect detection rate for severe cases of condition that causes blindness in preemies

Research shows that an artificial intelligence technology developed with NEI funding can accurately and independently detect all severe cases of retinopathy of prematurity.
Eye doctor giving patient an eye exam.

Study finds AI–driven eye exams increase screening rates for youth with diabetes

A study of children and youth with diabetes concludes that diabetic eye exams using artificial intelligence (AI) increase completion rates of screenings to detect diabetic eye disease.

Stanford Medicine researchers build an eye ‘aging clock’ that could lead to treatments for ocular diseases

Using a technique they developed for studying eye fluid, Stanford Medicine researchers and their collaborators have found a way to measure ocular aging, opening avenues for treatment of numerous eye diseases.
EyeDrops_GlaucomaMedicines.

AI used to advance drug delivery system for glaucoma and other chronic diseases

Researchers have used artificial intelligence models and machine-learning algorithms to successfully predict which components of amino acids that make up therapeutic proteins are most likely to safely deliver therapeutic drugs to animal eye cells.
Small baby sleeping in hospital.

Saving premature babies’ vision with a smartphone camera and artificial intelligence

An inexpensive, smartphone-based camera can help doctors identify premature infants needing treatment for retinopathy of prematurity (ROP), according to a new study funded by the National Eye Institute (NEI).
A man and a dog in front of an MRI scanner

Decoding Canine Cognition

Scientists have decoded visual images from a dog’s brain, offering a first look at how the canine mind reconstructs what it sees.
two people are taking a walk outside

Seen and ‘herd’: Collective motion in crowds is largely determined by participants’ field of vision

Researchers at Brown University developed a new model to predict human flocking behavior based on optics and other sensory data.
Image of a heart superimposed over a retinal image

AI can identify heart disease from an eye scan

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.

NIH study classifies vision loss and retinal changes in Stargardt disease

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.

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