In the fight of heart disease (the# 1 global killer), Left ventricular ejection fraction (EF)
calculated via echocardiography plays crucial role for disease diagnosis and treatment …

EchoNet-Dynamic is a new deep learning algorithm developed using 10,030
echocardiogram videos to estimate left ventricular ejection fraction (LVEF) and classify …

Background Significant interobserver and interstudy variability occurs for left ventricular (LV)
functional indices despite standardization of measurement techniques. Artificial intelligence …

Background Echocardiography is the diagnostic modality for assessing cardiac systolic and
diastolic function to diagnose and manage heart failure. However, manual interpretation of …

Left ventricular ejection fraction (LVEF) is a commonly used index of cardiac functionality.
Thus, accuracy in its measurement is fundamental. LVEF measure is usually manually …

BACKGROUND Left ventricular ejection fraction calculation automation typically requires
complex algorithms and is dependent of optimal visualization and tracing of endocardial …

Cardiovascular diseases (CVD) are the prime cause of mortality in people worldwide.
Mortality in CVD has been strongly linked to Ejection Fraction (EF) in various studies1. Left …

Deep learning (DL) has been applied for automatic left ventricle (LV) ejection fraction (EF)
measurement, but the diagnostic performance was rarely evaluated for various phenotypes …

Introduction The echocardiographic measurement of left ventricular ejection fraction (LVEF)
is fundamental to the diagnosis and classification of patients with heart failure (HF). Methods …

An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose
heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is …