Abstract 13261: Utility of a Novel Ensemble Based Deep Learning Network for the Automatic Detection of Pulmonary Hypertension and Right Ventricular Dilatation: A Study Based on Data From 783 Individuals From Two Tertiary Centres

Maria Luisa Benesch Vidal,Aleksander Kempny,Wei Li,Konstantinos Dimopoulos,John Wort,Alicia Jeanette Fischer,Stefan Orwat,Helmut Baumgartner,Michael A. Gatzoulis,Gerhard P. Diller

Abstract 13261: Utility of a Novel Ensemble Based Deep Learning Network for the Automatic Detection of Pulmonary Hypertension and Right Ventricular Dilatation: A Study Based on Data From 783 Individuals From Two Tertiary Centres

2021

Maria Luisa Benesch Vidal
Aleksander Kempny
Wei Li
Konstantinos Dimopoulos
John Wort
Alicia Jeanette Fischer
Stefan Orwat
Helmut Baumgartner
Michael A. Gatzoulis
Gerhard P. Diller

Background: Pulmonary arterial hypertension (PAH) is associated with high morbidity and mortality. Echocardiography represents the main screening tool but requires specific expertise and diagnosis ...

Keywords:

Deep learning
Cardiology
Artificial intelligence
Pulmonary hypertension
Right ventricular dilatation
Internal medicine
screening tool
Medicine
high morbidity

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