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Machine-learning integration of complex echocardiographic patterns and clinical parameters from cohorts and trials

Congress Presentation

About the speaker

Associate Professor Maja Cikes

University Hospital Centre Zagreb, Zagreb (Croatia)
50 presentations
16 followers

7 more presentations in this session

Strain parameters at rest and after exercise in symptomatically stable patients with improved heart failure - STRESS-HF

Speaker: Doctor M. Saran (Lucknow, IN)

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Diastolic dysfunction is an independent predictor of adverse events in patients with systolic dysfunction. Insights from the MADIT-CRT trial

Speaker: Doctor M. Gori (Bergamo, IT)

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Revisiting the weber and ventilatory classifications in heart failure by combining exercise stress echo with gas exchange phenotyping

Speaker: Doctor T. Sugimoto (Nagoya, JP)

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Fast-SENC quantifies segmental right ventricular intramyocardial strain to assess subclinical RV dysfunction prior to changes in RV ejection fraction

Speaker: Doctor M. Montenbruck (Hamburg, DE)

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The interrelation of left ventricular geometry with myocardial work

Speaker: Doctor F. Sahiti (Wurzburg, DE)

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Access the full session

Novel echocardiography techniques for heart failure

Speakers: Associate Professor M. Cikes, Doctor M. Saran, Doctor M. Gori, Doctor T. Sugimoto, Doctor M. Montenbruck...
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About the event

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ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations

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