Please provide your email address to receive an email when new articles are posted on . The BioAge model, which uses retinal images, accurately stratified individuals by traditional cardiovascular ...

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 ...

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.

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 ...

In a recent study published in the journal NPJ Digital Medicine, researchers have developed a deep learning algorithm capable of analyzing high-resolution images of retinal vasculature to detect ...

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 ...

An international research team led by Prof. Dr. Sedat Nizamoğlu from the Department of Electrical and Electronics Engineering at Koç University has developed a next-generation, safe, and wireless ...

The arrival of OpenAI’s DALL-E 2 in the spring of 2022 marked a turning point in AI, when text-to-image generation suddenly became accessible to a select group of users, creating a community of ...