Three-Dimensional Echocardiography Based on Automation and Machine Learning Principles and the Renaissance of Cardiac Morphometry

Andrea Barbieri; Mauro Pepi

doi:10.3390/jcm11154357

Three-Dimensional Echocardiography Based on Automation and Machine Learning Principles and the Renaissance of Cardiac Morphometry

J Clin Med. 2022 Jul 27;11(15):4357. doi: 10.3390/jcm11154357.

Authors

Andrea Barbieri¹, Mauro Pepi²

Affiliations

¹ Division of Cardiology, Department of Diagnostics, Clinical and Public Health Medicine, Policlinico University Hospital of Modena, University of Modena and Reggio Emilia, 41124 Modena, Italy.
² Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy.

Abstract

Today, the core component of all transthoracic echocardiography reports is the quantification of cardiac chamber size and function using advanced echocardiography modalities such as three-dimensional echocardiography (3DE), in line with the rising demand for quantifications of cardiac chambers with high measurement accuracy and reproducibility [...].

Publication types

Editorial

Grants and funding

This research received no external funding.