Both image photodetector arrays and retinas are pixelated sensors that dynamically extract various features from the visual scene—e.g., color, brightness, and contrast—before transmitting electrical ...

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

Researchers at Tor Vergata University of Rome have developed a biohybrid image sensor that mimics how the animal retina ...

Researchers develop a 96% accurate AI-powered retinal scan to distinguish between Alzheimer’s and ALS by detecting specific protein deposits.

A retinal image could help doctors quickly distinguish between similar neurodegenerative diseases, such as ALS and Alzheimer's disease, and with remarkable accuracy, according to new research ...

Google AI has made a breakthrough: successfully predicting cardiovascular problems such as heart attacks and strokes simply from images of the retina, with no blood draws or other tests necessary.

Population-based studies have shown retinal disorders are the most common cause of irreversible blindness in developed countries and the second most common cause of blindness after cataracts in ...

Optain's portable robotic camera captures retinal images that help detect early-stage eye diseases, including diabetic retinopathy, glaucoma and age-related macular degeneration. It can also assess ...

Researchers have conducted one of the largest eye studies in the world to reveal new insights into retinal thickness, highlighting its potential in the early detection of diseases like type 2 diabetes ...