Back

Recognising cardiac arrest - can artificial intelligence help?

25 April 2021 (11:47 - 11:59)
Organised by:
Congress Presentation Part of: The utilisation of digital methods to improve prediction and recognition of cardiac arrest and to deliver health-care e-Cardiology/Digital Health EHRA Premium Access EHRA 2021

About the speaker

Photo
Professor Paul Wang

Stanford University, Stanford (United States of America)

4 More presentations in this session

Presentation thumbnail
How to use digital methods to predict sudden cardiac death
Professor D. Duncker (Hannover, DE)
Slides Video
Presentation thumbnail
Apps and drones to the rescue
Associate Professor A. Claesson (Solna, SE)
Slides Video
Presentation thumbnail
Remote app-based management of atrial fibrillation during COVID-19: characteristics and experiences of the European TeleCheck-AF project
Professor D. Linz (Maastricht, NL)
Slides Video
Presentation thumbnail
Utilisation of digital methods to improve prediction and recognition of cardiac arrest and to deliver health-care - discussion
Video

Access the full session

Session thumbnail
The utilisation of digital methods to improve prediction and recognition of cardiac arrest and to deliver health-care

The Event

Event poster

EHRA 2021

25 April 2021 11:47 CET
You may be interested in
thumbnail
Congress Session
How to implement a successful telemedicine program in heart failure
thumbnail
Congress Presentation
Co-creation in developing a digital cardiac rehabilitation program: the design and development of eCardiacRehab
thumbnail
Congress Presentation
Trends in digital healthcare adoption and its effectiveness for discharged patients with coronary artery disease across different phases of the COVID-19 pandemic in china

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources