While deep learning techniques ... on an extensive dataset of ECG readings paired with clinical data, enabling it to detect correlations between the ECG signal and broader health trends.

The technology leverages deep learning models trained to interpret electrocardiogram (ECG) data gathered while patients are wearing remote technology to monitor their heart rhythm while they go ...

is the first to use deep learning to identify patients with potentially undetected atrial fibrillation and had an overall accuracy of 83%. The technology finds signals in the ECG that might be ...