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What is Deep Learning for Aortic Stenosis Detection about?

This study developed and validated a deep learning algorithm to detect significant aortic stenosis using electrocardiography (ECG). The algorithm was trained on over 39,000 ECGs and validated on over 6,000 internal and over 10,000 external ECGs. The algorithm demonstrated high accuracy for detecting significant aortic stenosis, with areas under the receiver operating characteristic curve of 0.884 for internal validation and 0.861 for external validation using 12-lead ECGs, and 0.845 and 0.821 respectively u

Author

施展

Language

EN