A multicentre study shows AI-enabled ECG screening can be integrated into clinical workflows to detect previously undiagnosed ...

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 ...

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 ...

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 ...

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

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 ...

Nearly nine in ten cases of sudden cardiac death (SCD) due to hypertrophic cardiomyopathy (HCM) in young people are preceded by symptoms, ECG abnormalities or a positive family history, according to a ...

ECG denotes electrocardiogram; HCM–, hypertrophic cardiomyopathy negative; and HCM+, hypertrophic cardiomyopathy positive. Mount Sinai researchers studying a type of heart disease known as ...

Hypertrophic cardiomyopathy (HCM) is a genetic heart condition affecting about 1 in 500 people and is one of the leading causes of sudden cardiac death (SCD) in people under 35, including among ...

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 ...