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 …

A key indicator in the diagnosis, prognosis, and management of individuals with heart failure
(HF) is the left ventricular ejection fraction (EF). The amount of blood that is forced out of the …

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 …

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 …

Background Accurate assessment of the left ventricular ejection fraction (LVEF) is crucial for
making therapeutic decisions. The echocardiographic method for quantification of LVEF …

Background: We have recently tested an automated machine-learning algorithm that
quantifies left ventricular (LV) ejection fraction (EF) from guidelines-recommended apical …

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

INTRODUCTION Deep learning (DL) has been of increasing use in the field of
echocardiographic cardiology. The importance of segmentation and recognition of different …

Cardiovascular diseases are the leading cause of death worldwide. These diseases are
related with a broad range of factors but usually show high correlation with diminished left …

Background Ejection fraction (EF) is a key parameter for assessing cardiovascular functions
in cardiac ultrasound, but its manual assessment is time-consuming and subject to high inter …