Abstract 12753: Convolutional Neural Networks Are Non-inferior To Expert Assessment For The Evaluation Of Left Ventricular Systolic Function And Mass In Chronic Heart Failure - Results From The Myovasc Study

Sven Troebs,Tony Hauptmann,David Velmeden,Jakob Soehne,Alexander Schuch,Felix Mueller,Marc Heidorn,Sebastian Göbel,Andreas Schulz,Thomas Münzel,J.H. Prochaska,Stefan Kramer,Philipp S. Wild

Abstract 12753: Convolutional Neural Networks Are Non-inferior To Expert Assessment For The Evaluation Of Left Ventricular Systolic Function And Mass In Chronic Heart Failure - Results From The Myovasc Study

2021

Sven Troebs
Tony Hauptmann
David Velmeden
Jakob Soehne
Alexander Schuch
Felix Mueller
Marc Heidorn
Sebastian Göbel
Andreas Schulz
Thomas Münzel
J.H. Prochaska
Stefan Kramer
Philipp S. Wild

Introduction: Convolutional neural networks (CNN) can determine markers of cardiac function and structure from echocardiographic imaging datasets. A comparison of measurement results between a CNN ...

Keywords:

Cardiology
systolic function
Internal medicine
Ejection fraction
Heart failure
Medicine
Cardiac function curve
Convolutional neural network

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