Machine-learning algorithms for prediction of survival by stress echocardiography in chronic coronary syndromes

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Machine-learning algorithms for prediction of survival by stress echocardiography in chronic coronary syndromes

Session: Echocardiography in acute and chronic coronary syndromes

Topic: Stress Echocardiography

Speaker: Doctor N. Gaibazzi (Parma, IT)

Event: ESC Congress 2022

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About the speaker

Doctor Nicola Gaibazzi

University Hospital of Parma, Parma (Italy)

4 presentations

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5 more presentations in this session

Prognostic value of coronary flow and heart rate reserve in emergency department chest pain

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Diastolic stress echocardiography in patients with normal resting diastolic function: prognostic utility in presence and absence of myocardial ischemia

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High resting coronary flow velocity predicts worse survival in chronic coronary syndromes

Speaker: Doctor N. Gaibazzi (Parma, IT)

Clinical significance of myocardial work parameters after acute myocardial infarction

Speaker: Associate Professor A. Coisne (Lille, FR)

Left atrial strain analysis improves non-invasive estimation of left ventricular filling pressures in takotsubo syndrome

Speaker: Doctor G. Iannaccone (Rome, IT)

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Echocardiography in acute and chronic coronary syndromes

Speakers: Doctor N. Gaibazzi, Doctor A. Vecchi, Doctor L. Alam, Doctor N. Gaibazzi, Associate Professor A. Coisne...

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About the event

ESC Congress 2022

26 August - 29 August 2022

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