Correspondence to Ricardo Stein, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-903, Brazil; rstein{at}cardiol.br Objectives To evaluate the prevalence of abnormal ECG findings and ...

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 ...

Please provide your email address to receive an email when new articles are posted on . Abnormal ECG findings were more common in female athletes compared with male athletes, according to a study ...

The issue An abnormal EKG result can be a shock to the system. Dr. Samir Saba, co-director of the UPMC Heart and Vascular ...

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, ...

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 ...

The company says its machine learning approach could help flag cardiac amyloidosis from standard 12-lead ECGs, though experts ...

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 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, ...

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