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The artificial intelligence system in prediction of the prevalence of acute coronary syndromes based on weather conditions

28 August 2020 (08:00 - 18:00)
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Congress Presentation Part of: e-Cardiology / Digital Health ePosters Artificial Intelligence ESC Premium Access ESC Congress 2020

About the speaker

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Doctor Patrycja Molek

John Paul II Hospital, Jagiellonian University Medical College, Institute of Cardiology, Krakow (Poland)

58 More presentations in this session

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Accurate prediction of left ventricular diastolic dysfunction in 2D echocardiography using ensemble of deep convolutional neural networks
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
Professor J. Kasprzak (Lodz, PL)
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Novel wearable sensor device methodology for STEMI detection
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
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
Doctor A. Rogers (Stanford, US)
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e-Cardiology / Digital Health ePosters

The Event

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ESC Congress 2020

28 August 2020 08:00 CET
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