Machine Learning-Enabled Fully Automated Assessment of Left Ventricular Volume, Ejection Fraction and Strain: Experience in Pediatric and Young Adult Echocardiography
Abstract:Background: Left ventricular (LV) volumes, ejection fraction
(EF), and myocardial strain have been shown to be predictive of clinical
and subclinical heart disease. Automation of LV functional assessment
overcomes difficult technical challenges and complexities, potentially
decreasing inter-observer and inter-center variability, reducing
analysis times and improving echocardiography laboratory throughput and
efficiency. We sought to assess whether a fully automated assessment of
LV function could be reliably u… Show more
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