BELGRADE, Serbia—An artificial intelligence algorithm for interpreting electrocardiograms (AI-ECG) can identify individuals who have subclinical heart failure (HF) when echocardiography isn’t widely ...

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 . ECGs analyzed by AI identified left ventricular systolic dysfunction in patients who presented to the ED with ...

An app researchers designed for the Apple Watch allows patients to transmit electrocardiograms to a central processing center, where analysis driven by artificial intelligence (AI) can detect left ...

ROCHESTER, Minn. -- A Mayo Clinic study finds that applying artificial intelligence (AI) to a widely available, inexpensive test - the electrocardiogram (EKG) - results in a simple, affordable early ...

An innovative new way to analyze electrocardiogram (ECG) results using artificial intelligence may help doctors quickly and cheaply identify patients most at risk of heart failure. A new study from ...

DCM. This type of cardiomyopathy presents with dyspnea, orthopnea, paroxysmal nocturnal dyspnea, ankle edema, and weight gain. A viral prodrome with malaise, flulike illness, or chest pain from ...

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

Repolarization dispersion has been linked to echocardiographic measures of diastolic dysfunction in past research, and a recent study found it potentially indicative of pulmonary arterial hypertension ...

COVID-19, which is the result of infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), commonly causes cardiac injury to develop in hospitalized patients. Acute myocardial ...