Through a deep-learning model, researchers have shown that ordinary ECG images can be leveraged to identify patients with an LV ejection fraction below 40%. Their approach also appears able to ...

Department of Medical-Diagnostic Sciences, University of Padua, Padua, Italy Correspondence to Dr D Corrado, Department of Cardiac, Thoracic and Vascular Sciences, University of Padua Medical School, ...

Whether you're studying for the boards or just want to stay sharp, Learn the Heart has the tools you need to challenge your cardiology IQ.

Researchers at the Yale Cardiovascular Data Science (CarDS) Lab have developed an artificial intelligence (AI)-based model for clinical diagnosis that can use electrocardiogram (ECG) images, ...

Whether you're studying for the boards or just want to stay sharp, Learn the Heart has the tools you need to challenge your cardiology IQ.

Heart disease remains the leading cause of death worldwide, and although electrocardiography (ECG) is critical for diagnosis, interpreting ECG signals requires extensive training. Current machine ...

Researchers have developed an artificial intelligence (AI)-based model for clinical diagnosis that can use electrocardiogram (ECG) images, regardless of format or layout, to diagnose multiple heart ...

Prophylactic implantable cardioverter defibrillator therapy did not reduce mortality in patients with a prior myocardial infarction, persistent moderate left ventricular systolic dysfunction and ...

A small study suggests breast implants may interfere with the quality of ECG readings, leading to false-positive abnormalities. Researchers led by Sok-Sithikun Bun, MD (Princess Grace Hospital, Monaco ...

ECG aberrancy means the heartbeat does not follow the usual conduction system of the heart. Atrial fibrillation with ECG aberrancy means people have an irregular heart rhythm with abnormal conduction.