Improved prediction of cardiac, limb and bleeding events in patients with coronary and peripheral arterial disease using machine learning models and artificial intelligence

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Improved prediction of cardiac, limb and bleeding events in patients with coronary and peripheral arterial disease using machine learning models and artificial intelligence

Session: e-Cardiology / Digital Health ePosters

Topic: Big Data and Digital Twin

Speaker: Professor J. Steffel (Zurich, CH)

Event: ESC Congress 2020

Congress Presentation

About the speaker

Professor Jan Steffel

Klinik Hirslanden, Zurich (Switzerland)

84 presentations

25 followers

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Accurate prediction of left ventricular diastolic dysfunction in 2D echocardiography using ensemble of deep convolutional neural networks

Speaker: Doctor A. Karuzas (Kaunas, LT)

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Mixed reality interactive visualization of cardiovascular anatomy in interventional lab - clinical implementation in transvascular patent ductus arteriosus closure

Speaker: Professor J. Kasprzak (Lodz, PL)

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Novel wearable sensor device methodology for STEMI detection

Speaker: Doctor S. Mehta (Miami, US)

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Reliability of low electrocardiogram sampling frequencies for short-term heart rate variability analysis to estimate transient psychophysiological stress induced by car driving

Speaker: Assistant Professor D. Brisinda (Rome, IT)

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Deep neural network trained on surface ECG improves diagnostic accuracy of prior myocardial infarction over Q wave analysis

Speaker: Doctor A. Rogers (Palo Alto, US)

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e-Cardiology / Digital Health ePosters

Speakers: Professor J. Steffel, Doctor A. Karuzas, Professor J. Kasprzak, Doctor S. Mehta, Assistant Professor D. Brisinda...

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About the event

ESC Congress 2020

29 August - 1 September 2020

Sessions Presentations

Congress

Improved prediction of cardiac, limb and bleeding events in patients with coronary and peripheral arterial disease using machine learning models and artificial intelligence

About the speaker

Professor Jan Steffel

58 more presentations in this session

Accurate prediction of left ventricular diastolic dysfunction in 2D echocardiography using ensemble of deep convolutional neural networks

Mixed reality interactive visualization of cardiovascular anatomy in interventional lab - clinical implementation in transvascular patent ductus arteriosus closure

Novel wearable sensor device methodology for STEMI detection

Reliability of low electrocardiogram sampling frequencies for short-term heart rate variability analysis to estimate transient psychophysiological stress induced by car driving

Deep neural network trained on surface ECG improves diagnostic accuracy of prior myocardial infarction over Q wave analysis

Access the full session

e-Cardiology / Digital Health ePosters

About the event

ESC Congress 2020

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