Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population

We aimed to evaluate the feasibility and accuracy of machine learning-based automated dynamic quantification of left ventricular (LV) and left atrial (LA) volumes in an unselected population. We enrolled 600 unselected patients (12% in atrial fibrillation) clinically referred for transthoracic echoc...

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Autores principales:	Gianpiero Italiano, Gloria Tamborini, Laura Fusini, Valentina Mantegazza, Marco Doldi, Fabrizio Celeste, Paola Gripari, Manuela Muratori, Roberto M. Lang, Mauro Pepi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	3D echocardiography cardiac chamber quantification left ventricular function machine learning Medicine R
Acceso en línea:	https://doaj.org/article/e2e9f51790f44b98bc7e6a18886297c0
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Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population

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