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 ...

“OCT imaging as a screening biomarker for PD has garnered attention 2-4 for its accessibility and integration in the community. Moreover, increasing evidence of PD-related pathologies in the retina ...

Artificial intelligence (AI) has drawn interest in ophthalmology for its potential to track disease trends in huge populations, such as the 38.4 million people in the United States with diabetes who ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. Researchers at NIH have developed AI-based technology ...

Artificial intelligence (AI) models have been validated for recognizing signs of eye diseases in retinal images, enhancing diagnosis, and risk stratification. Combining natural images and medical data ...

Want to know more about your future risk of developing heart or lung problems? Your retinal thickness might hold important clues. Researchers have previously established links between the thickness of ...

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 ...

Researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory ...

This stunning image may look like a particularly lively Jackson Pollock painting, but it’s actually an example of a new cell imaging technique. The subject? A human retina. In fluorescence microscopy, ...