Three-dimensional automated, machine-learning-based left heart chamber metrics: associations with prevalent vascular risk factors and cardiovascular diseases

HIGHLIGHTS

• who: Andrea Barbieri and colleagues from the Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy have published the research work: Three-Dimensional Automated, Machine-Learning-Based Left Heart Chamber Metrics: Associations with Prevalent Vascular Risk Factors and Cardiovascular Diseases, in the Journal: (JOURNAL) of 14/09/2020
• what: One notable result of this study is that LAVi min and LAEF have the most robust association with prevalent CVDs compared to LAVi max. The authors aimed at the highest imaging quality, and the elevated . . .
  

   

  

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