Discover how machine learning models are revolutionizing the diagnosis of occlusion myocardial infarction (OMI) in patients with acute chest pain. Machine learning models surpass clinicians and ...

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this approach could improve early detection.

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 ...

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 ...

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 ...

In a collaboration with Mayo Clinic, AliveCor will apply its smartphone electrocardiogram device and machine learning algorithms to tease out new physiological indicators of heart health as well as ...

In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.