ESC Premium Access

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

Congress Presentation

About the speaker

Doctor Patrycja Molek

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

58 more presentations in this session

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

Speaker: Doctor A. Karuzas (Kaunas, LT)

Thumbnail

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

Speaker: Professor J. Kasprzak (Lodz, PL)

Thumbnail

Novel wearable sensor device methodology for STEMI detection

Speaker: Doctor S. Mehta (Miami, US)

Thumbnail

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)

Thumbnail

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

Speaker: Doctor A. Rogers (Stanford, US)

Thumbnail

Access the full session

e-Cardiology / Digital Health ePosters

Speakers: Doctor P. Molek, Doctor A. Karuzas, Professor J. Kasprzak, Doctor S. Mehta, Assistant Professor D. Brisinda...
Thumbnail

About the event

Image

ESC Congress 2020

29 August - 1 September 2020

Sessions Presentations