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AI predicts 15 diseases via retina analysis
Researchers from the "Skoltech" Institute and tech companies have developed an artificial intelligence model capable of analyzing retinal images to predict the risk of developing 15 different diseases. These include eye conditions such as glaucoma and cataracts, as well as systemic illnesses like hypertension, lupus, and HIV. The model was trained and tested on more than 20,000 images and demonstrated high performance in distinguishing between different cases, with an "AUC" value of approximately 0.997. This reflects its ability to accurately identify the likelihood of developing these conditions. The goal of this approach is to use routine eye examinations for early detection of diseases before clear symptoms appear, emphasizing that image analysis does not replace medical examinations but rather guides patients to undergo additional tests if necessary.
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