Assessment of HeartModel® automated left ventricular ejection fraction for patients with hypertrophic cardiomyopathy.

ABSTRACT:

Aims

Cardiac myosin inhibitors (CMIs) have revolutionized care for patients with obstructive hypertrophic cardiomyopathy (HCM), however they are associated with a risk of systolic dysfunction. Machine learning algorithms might expand access to frequent accurate assessment of left ventricular ejection fraction (LVEF). We assess the performance of a commercial ML-based LVEF model for patients with HCM.

Methods and results

Single centre prospective study of measurements of left ventricular function by Philips HeartModel® (automated) assessment, echocardiographer assessment (standard), and cardiac magnetic resonance imaging for patients with HCM. Assessments of LVEF, end diastolic volume and end systolic volume were studied across methods. 50 patients with HCM were included. Med

SUBMITTER: Morrissey J 

PROVIDER: S-EPMC12851118 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature