RETFound uses self-supervised learning to analyze 1.6 million retinal images to predict missing portions, increasing efficiency and reducing cost.
RETFound's understanding of what a retina should look like gives it versatility for various applications.
RETFound uses retinal scans which provide a direct view of body’s smallest blood vessels, to gain insights into cardiovascular health.
RETFound has learned what a normal retina should look like, enabling it to detect abnormalities and diagnose diseases.