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This Google AI (Sort of) Knows When You’ll Have a Heart Attack

In the study, Google researchers used retinal-scan data from nearly 300,000 patients to « train » a neural network — an intricate series of algorithms — to detect heart-health risks just by looking at images of a patient’s eyes.

In the study, Google researchers used retinal-scan data from nearly 300,000 patients to « train » a neural network — an intricate series of algorithms — to detect heart-health risks just by looking at images of a patient’s eyes. The algorithm was able to predict which patients would go on to experience a major adverse cardiac event (such as a heart attack or stroke) with about 70-percent accuracy, according to the study, which was published online yesterday (Feb. 19) in the journal Nature Biomedical Engineering.

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