Development of novel machine learning model for right ventricular quantification on echocardiography—A multimodality validation study
Author:
Affiliation:
1. Greenberg Cardiology Division Department of Medicine Weill Cornell Medicine New York NY USA
2. Department of Radiology Mayo Clinic (Minnesota) Rochester MN USA
Funder
Center for Scientific Review
Publisher
Wiley
Subject
Cardiology and Cardiovascular Medicine,Radiology Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/echo.14674
Reference17 articles.
1. Prognostic value of right ventricular mass, volume, and function in idiopathic pulmonary arterial hypertension
2. The right ventricle in congenital heart disease
3. The Prevalence, Correlates, and Impact on Cardiac Mortality of Right Ventricular Dysfunction in Nonischemic Cardiomyopathy
4. Prognostic usefulness of the tricuspid annular plane systolic excursion in patients with congestive heart failure secondary to idiopathic or ischemic dilated cardiomyopathy
5. Echocardiographic Linear Dimensions for Assessment of Right Ventricular Chamber Volume as Demonstrated by Cardiac Magnetic Resonance
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