A multicentre study shows AI-enabled ECG screening can be integrated into clinical workflows to detect previously undiagnosed ...
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 ...
Doctors have long called hypertrophic cardiomyopathy (HCM) “the great masquerader.” It hides in plain sight, often mistaken for other heart issues. This condition affects the heart muscle, causing it ...
iRhythm (IRTC) Technologies announced that the results of the Extended Ambulatory ECG Monitoring Enhances Identification of Higher-Risk Ventricular Tachyarrhythmias in Patients with Hypertrophic ...
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 ...
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 ...
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 ...
Athletes with mild hypertrophic cardiomyopathy (HCM) at low risk of sudden cardiac death (SCD) can safely continue to exercise at competitive levels, a retrospective study suggests. During a mean ...
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