ESC Premium Access

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

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

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