Researchers from the University of California, San Francisco developed a deep learning algorithm to classify images from heart ultrasound tests with better accuracy than skilled human technicians. Published in the Nature Partner Journal, Digital Medicine, the researchers created a convolutional neural network that automatically classifies echocardiograms, resulting in 98% overall accuracy.
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