Back

Risk stratification of coronary artery disease using the artificial intelligence-enabled electrocardiogram

27 August 2023 (08:15 - 08:50)
Organised by: Logo
Congress Presentation Part of: Harnessing the power of artificial intelligence in the clinic Artificial Intelligence ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

Photo
Doctor Samir Awasthi

Anumana, Cambridge (United States of America)

6 More presentations in this session

Presentation thumbnail
Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes
Doctor C. Hayward (Leeds, GB)
Abstract Slides Video
Presentation thumbnail
Use of machine learning to predict mortality in patients with type 2 diabetes mellitus, according to socioeconomic status
Miss N. Kaur (Glasgow, GB)
Abstract Slides Video
Presentation thumbnail
Single-lead ECG based detection of arterial hypertension using artificial intelligence algorithms
Doctor E. Angelaki (Boston, US)
Abstract Slides Video
Presentation thumbnail
Detection of left ventricular contractile dysfunction in patients with premature ventricular contractions using electrocardiogram trained using a deep learning model
Doctor G. Kowlgi (Rochester, US)
Abstract Slides Video
Presentation thumbnail
Artificial intelligence (AI) enhanced ECG predicts obstructive cardiovascular disease and death using secondary data; a benchmarked comparison of different methods
Doctor L. Vogel (Essen, DE)
Abstract Slides Video

Access the full session

Session thumbnail
Harnessing the power of artificial intelligence in the clinic

The Event

Event poster

ESC Congress 2023

27 August 2023 08:15 CET
You may be interested in
thumbnail
Congress Presentation
Artificial intelligence-enhanced electrocardiography predicts 10-year risk of atherosclerotic cardiovascular disease
thumbnail
Congress Presentation
Electrocardiogram-based artificial intelligence to identify prevalent coronary artery disease
thumbnail
Congress Presentation
From arteries to algorithms: foundational models for coronary artery disease diagnosis and cardiovascular risk assessment

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources