Deep-learning-based artificial intelligence algorithm for detecting anemia using electrocardiogram

28 August 2020 (08:00 - 18:00)

Organised by:

Abstract

Sign in to view the resources

Slides

About the speaker

Assistant Professor Ki-Hyun Jeon

Seoul National University Bundang Hospital, Seongnam (Korea (Republic of))

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

ESC Congress 2020

28 August 2020 08:00 CET

You may be interested in

Congress Session

Why signal quality matters? The importance of ECG and intracardiac signal quality to empower emerging AI technologies

Congress Session

Evolutions in arrythmia and syncope management

Congress Session

Artificial intelligence in arrhythmia care: good news for EPeeps?

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources