NEI Research News

Findings from a National Eye Institute-supported study show for the first time that when babies look at photos of unfamiliar everyday scenes, such as an office or a lab, they tend to fixate on the same regions where adults find meaning.

Research shows that an artificial intelligence technology developed with NEI funding can accurately and independently detect all severe cases of retinopathy of prematurity.

Researchers at Indiana University School of Optometry found that individuals are at different risks for retinal damage from diabetes, with certain ethnic groups and males being at a greater risk.

A University of Houston optometry researcher is warning against the use of low-level red light (LLRL) therapy as a method to control myopia, or nearsightedness, especially in children.

Researchers combined retinal imaging, genetics and big data to estimate how likely a person is to develop eye and systemic diseases in the future.

A new analysis focusing specifically on people of African ancestry identified three gene variants that may be contributing to this population’s susceptibility to developing and being blinded by glaucoma.

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.

The National Institutes of Health sponsored its first-ever workshop on cerebral visual impairment (CVI), an umbrella term for subnormal vision resulting from brain injury during development.

The National Eye Institute (NEI) has chosen Richard Lee, M.D., Ph.D., as the institute’s clinical director, overseeing clinical research and serving as clinical policy advisor for NEI.

Research funded by the National Eye Institute suggests that low density of pigment in the macula, the region of the retina required for sharp central vision, is associated with thinning of the retina and may serve as an early warning sign of glaucoma.