Barriers and facilitators for implementation of AI algorithms for ECG analysis and triage in patients with chest pain

1 September 2024 (15:00 - 15:50)

Organised by:

Video

Sign in for access options

Abstract

Slides

About the speaker

Mr Bauke Arends

University Medical Center Utrecht, Utrecht (Netherlands (The))

8 More presentations in this session

Presentation thumbnail

Importance and limits of cardiovascular risk factors on the prediction of SCD using machine learning approach.

Professor X. Jouven (Paris, FR)

Abstract Slides Video

Presentation thumbnail

Fully automated artificial intelligence-based cine cardiac magnetic resonance image quantification

Mr P. Mohammadi Kazaj (Bern, CH)

Abstract Slides Video

Presentation thumbnail

Preventing unnecessary echocardiograms in de novo patients referred to the cardiology outpatient clinic using electrocardiogram-based deep learning

Mr B. Arends (Utrecht, NL)

Abstract Slides Video

Presentation thumbnail

An explainable AI for trustworthy detection of atrial fibrillation on reduced lead ECGs in mobile applications

Mr A. Hammer (Dresden, DE)

Abstract Slides Video

Presentation thumbnail

Predicting mortality of type-2 diabetes mellitus by applying machine learning to electronic medical records in the west of scotland and hong kong

Miss N. Kaur (Glasgow, GB)

Abstract Slides Video

Access the full session

Session thumbnail

Progress and challenges in artificial intelligence for cardiovascular risk assessment and diagnosis

The Event

Event poster

ESC Congress 2024

1 September 2024 15:00 CET

You may be interested in

Congress Presentation

Integration of artificial intelligence in electrocardiography: state-of-the art lecture

Congress Presentation

Set the scene: user experience with AI from the ECG unit

Congress Presentation

AI-based triage algorithms for acute chest pain: ready for prime time?

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources