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 ...

The artificial intelligence-enhanced electrocardiogram can effectively double the early identification of advanced chronic ...

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 ...

MINNEAPOLIS, May 7, 2020 /PRNewswire/ -- Preventice Solutions announced the publication of real-world data further validating BeatLogic ® deep learning models designed to detect and classify multiple ...

In a recently published study in the journal Nature Medicine, researchers developed and tested an intelligent model for diagnosing patients with occlusion myocardial infarction (OMI). This model was ...

(NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful cardiac insights, today announced a strategic collaboration with the Icahn School of Medicine at ...

An electrocardiogram is a picture of the electrical conduction of the heart. By examining changes from normal on the ECG, clinicians can identify a multitude of cardiac disease processes. There are ...

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 ...