Back

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

1 September 2024 (15:00 - 15:50)
Organised by: Logo
Congress Presentation Part of: Progress and challenges in artificial intelligence for cardiovascular risk assessment and diagnosis Artificial Intelligence ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
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
Barriers and facilitators for implementation of AI algorithms for ECG analysis and triage in patients with chest pain
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
thumbnail
Congress Presentation
Guiding the targeted deployment of AI-ECG for the precision diagnosis of structural heart disorders in the electronic health record
thumbnail
Congress Session
Spotlight on innovation: top publications in the European Heart Journal - Digital Health 2023-2024
thumbnail
Congress Presentation
Prospective validation of an ensemble deep learning algorithm for detecting structural heart disease using real-world 12-lead electrocardiogram images

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources