Fundus photography involves taking a photo of the back of the eye to detect signs of diabetic retinopathy. It is also possible to capture an image of the retina using a smartphone. Diabetic ...

Researchers developed an artificial intelligence (AI) model that can analyze routine eye images of premature infants to detect risk for serious lung and heart diseases -- The study evaluated 493 ...

In a recent study published in Nature Medicine, researchers from China developed a deep learning (DL) system named "DeepDR Plus" to predict the progression of diabetic retinopathy (DR) using fundus ...

Clinic Cuff Measurements in Accuracy and Stability NEW YORK, /PRNewswire/ -- AEYE Health, the leader in ophthalmic AI and retinal diagnostics and the developer of AEYE-DS, the fastest growing solution ...

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 ...

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 ...

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 ...

Researchers from The Chinese University of Hong Kong and Beijing Tongren Hospital have developed a foundational AI model for automated eye disease diagnosis. The generative AI model, VisionFM, was pre ...