Assessing cardiovascular risk factors with computer vision. 

Researchers at Google Brain are doing some very neat work that crosses both computer vision & health. “Using deep learning algorithms trained on data from 284,335 patients, we were able to predict CV risk factors from retinal images with surprisingly high accuracy for patients from two independent datasets of 12,026 and 999 patients. For example, our algorithm could distinguish the retinal images of a smoker from that of a non-smoker 71% of the time.” Remember, this is only the beginning! |learn more

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