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 ...

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 ...

Chest pain is among the most common reasons for presentation to the emergency department, yet identifying patients at the ...

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 ...

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 ...

Deep learning (DL) has achieved promising performance in detecting common abnormalities from the 12-lead electrocardiogram (ECG). However, diagnostic redundancy exists in the 12-lead ECG, which could ...

An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...

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.

Not all doctors can conduct electrocardiogram (ECG) test for heart patients. Only cardiologists can carry out the test. After the completion of course, candidates will be given a certificate by ISE.

An investigation has found a "concerning level of variation" in how 12-lead electrocardiogram (ECG) skills are taught in UK undergraduate paramedic programmes. A report by the Health Services Safety ...