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

Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a candidate scalable tool for underserved populations. AI-powered polarized-light ...

Amydis has received $2.5 million to continue mapping toxic deposits of TDP-43 in retinal tissue and develop an eye test for ALS.

Eye imaging may help distinguish ALS from Alzheimer’s disease by revealing differences in retinal protein deposits using polarized light.

AI-powered polarized retinal imaging detects protein deposits linked to neurodegenerative diseases, distinguishing Alzheimer’s from ALS and related disorders with high accuracy, enabling earlier ...

Retinal imaging takes a digital picture of the back of your eye. It shows the retina (where light and images hit), the optic disc (a spot on the retina that holds the optic nerve, which sends ...

The new technology provides a better tool to evaluate age-related macular degeneration and other retinal diseases. Another day, another reminder that artificial intelligence in healthcare is gathering ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Researchers at NIH have developed AI-based technology ...

Please provide your email address to receive an email when new articles are posted on . NEW YORK — In a presentation at OSN New York, Sarah H. Van Tassel, MD, discusses the expanding roles of retinal ...

The Korea Research Institute of Standards and Science (KRISS, President Lee Ho Seong) has developed a retina-mimicking eye phantom* that faithfully replicates the structural layers and microvascular ...