A team of researchers has developed an interpretable deep learning architecture, xECGArch, for accurate and trustworthy ECG analysis. This approach utilizes deep Taylor decomposition…
A team of researchers has developed an interpretable deep learning architecture, xECGArch, for accurate and trustworthy ECG analysis. This approach utilizes deep Taylor decomposition…
This study describes the first multi-site, prospective, observational cohort study to evaluate the diagnostic accuracy of machine learning for the ECG diagnosis and risk…
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