Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden death in adolescents and initial detection is often difficult. A new UCSF study finds that Artificial Intelligence-enhanced ...

Background In athletes, ECG changes from physiological cardiac remodelling are common but can overlap with findings from a pathological disorder. We compared ECG findings in a group of elite high ...

Thirty day electrocardiogram (ECG) monitoring in patients with hypertrophic cardiomyopathy (HCM) detects more arrhythmias than the standard 24 to 48 hours, according to late breaking science presented ...

Real-world evidence from the University of Virginia and University of Texas Medical Branch to be presented at American Heart Association (AHA) Scientific Sessions 2025 SAN FRANCISCO, November 04, 2025 ...

Background Interpretation of the athlete’s ECG is based on differentiation between benign ECG changes and potentially pathological abnormalities. The aim of the study was to compare the 2010 European ...

Please provide your email address to receive an email when new articles are posted on . Artificial intelligence to assess changes in ECGs may represent a novel method to evaluate disease status and ...

Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden death in adolescents and initial detection is often difficult. A new UC San Francisco study finds that Artificial Intelligence-enhanced ...

Clinically important arrhythmias, especially nonsustained ventricular tachycardia (NSVT), may be more prevalent in patients with hypertrophic cardiomyopathy (HCM) than widely believed, suggests a ...

A Hypertrophic Cardiomyopathy Center or a Lone Cardiologist?

Hypertrophic obstructive cardiomyopathy (HOCM) is a pathologic cardiac condition in which the interventricular septum is abnormally thickened. The classic finding in HOCM is large dagger-like “septal ...

Patients with hypertrophic cardiomyopathy (HCM) must be assessed using a 24- or 48-hour Holter monitor at least every 2 years to identify atrial fibrillation (AFib) or nonsustained ventricular ...

Researchers at Mount Sinai in New York City say they've developed a new artificial intelligence model designed for electrocardiogram analysis. The innovative AI approach could vastly improve the ...