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

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 ...

Researchers at the National Institutes of Health have applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is ...

If your doctor or optometrist is concerned about your vision, they might recommend retinal imaging. This test gives them a better picture of the inside of your eye. Retinal imaging is usually a ...

Scientists have developed a powerful new dual-imaging tool that maps the retina’s structure and oxygen use in unprecedented detail. This breakthrough could one day help doctors spot sight-stealing ...

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 ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

Canon U.S.A. (Lake Success, NY) recently introduced the CX-1, said to be the world’s first fully hybrid mydriatic/nonmydriatic digital retinal camera. The image-processing capabilities of Canon’s EOS ...

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms that allow computer systems to process and interpret images and videos.

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 ...