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Computer Versus Human in Interpreting Echocardiograms

On single still images drawn from all 15 views, the model achieved an average overall accuracy of 91.7 percent  compared to an average of 79.4 percent for board-certified echocardiograpers classifying a subset of the same test images.   Highlights Computers Are More Accurate Than Echocardiographers in Interpreting Echocardiograms Imaging is a critical part of medical diagnosis; Interpreting medical images typically requires extensive training and practice and is a complex and time-intensive process Deep learning, specifically using convolutional neural networks (CNNs), is… Keep Reading

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