HeartBeam (Nasdaq:BEAT) announced today that it entered into a strategic collaboration with the Icahn School of Medicine at Mount Sinai.

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...

The workflow illustrates data acquisition from wearable sensors, hierarchical temporal feature extraction at multiple granularities, multimodal alignment with clinical text knowledge, and dual-task ...

Extracting the foetal signal from the mother’s abdominal electrocardiogram is a crucial step for monitoring the health of the unborn child. (Courtesy: iStock/iTie) Researchers in Iran have used a deep ...

Machine-learning models that incorporate common clinical features along with ECG findings may help identify patients who are likely to have coronary artery calcium (CAC), with potential implications ...

Myocardial ischemia, the primary driver of heart attacks, remains the leading cause of death and disability worldwide. Delays in diagnosis directly correlate with increased myocardial necrosis, higher ...