Back

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

29 August 2020 (00:00 - 00:00)
Organised by:
Congress Presentation Part of: e-Cardiology / Digital Health ePosters Artificial Intelligence ESC Premium Access ESC Congress 2020

About the speaker

Photo
Doctor Patrycja Molek

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

58 More presentations in this session

Presentation thumbnail
Accurate prediction of left ventricular diastolic dysfunction in 2D echocardiography using ensemble of deep convolutional neural networks
Doctor A. Karuzas (Kaunas, LT)
Abstract Slides
Presentation thumbnail
Mixed reality interactive visualization of cardiovascular anatomy in interventional lab - clinical implementation in transvascular patent ductus arteriosus closure
Professor J. Kasprzak (Lodz, PL)
Abstract Slides
Presentation thumbnail
Novel wearable sensor device methodology for STEMI detection
Doctor S. Mehta (Miami, US)
Abstract Slides
Presentation thumbnail
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)
Abstract Slides
Presentation thumbnail
Deep neural network trained on surface ECG improves diagnostic accuracy of prior myocardial infarction over Q wave analysis
Doctor A. Rogers (Stanford, US)
Abstract Slides

Access the full session

Session thumbnail
e-Cardiology / Digital Health ePosters

The Event

Event poster

ESC Congress 2020

29 August - 1 September 2020
You may be interested in
thumbnail
Congress Presentation
Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study
thumbnail
Congress Session
Evolutions in arrythmia and syncope management
thumbnail
Congress Presentation
AI in cardiology: a force for progress? pro

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources