Rima Arnaout of San Francisco, Calif., and her colleagues published a research report in the journal Digital Medicine, using a convolutional neural network to train AI systems to classify echocardiography. Echocardiography is the first step in a human heart attack to examine a heart image. The heart is a complex organ. The echocardiograph needs to take video from many different angles. When the doctor prepares to analyze the video, they first need to determine the angle and organ of the image. Anatomical characteristics.
In the experiment, the accuracy of AI classification reached 92%, while humans only had 79%.
Arnaout emphasizes that this AI system is not yet ready to replace human cardiologists, and the best technology is still in the brains of human cardiologists.
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