A new artificial intelligence algorithm can detect a person's risk of heart disease by analyzing a selfie. The technology examines specific facial features, such as wrinkles, xanthelasmata, and the rings on the outer edges of the cornea, which are already known to be associated with heart disease, to determine a person's risk factor.
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A new artificial intelligence algorithm can detect the progression of glaucoma up to 18 months earlier than conventional methods.
Researchers have created a convolutional neural network to better understand how the brain processes movies of natural scenes. This may be the first step in helping scientists decode how the brain makes sense of dynamic visual surroundings.