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 ...

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 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 ...

AI-enhanced echocardiograms, like EchoNext, outperform cardiologists in detecting structural heart disease with higher accuracy and speed. EchoNext was trained on over 1.2 million ECG-echocardiogram ...

Left ventricular hypertrophy can be diagnosed on ECG with good specificity. When the myocardium is hypertrophied, there is a larger mass of myocardium for electrical activation to pass through; thus ...

PARIS – Teams from the Pitié-Salpêtrière hospital, the Institute for Research in Development, Sorbonne University and the National Institute of Health and Medical Research are proposing a new ...

Atrial fibrillation occurs when action potentials fire very rapidly within the pulmonary veins or atrium in a chaotic manner. The result is a very fast atrial rate — about 400 to 600 beats per minute.