ESC Premium Access

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

Congress Presentation

About the speaker

Professor Jan Steffel

Klinik Hirslanden, Zurich (Switzerland)
86 presentations
25 followers

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: Professor J. Steffel, 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

ESC 365 is supported by

logo Novo Nordisk
logo Bristol Myers Squibb