Back

An artificial intelligence algorithm for detection of severe aortic stenosis: a clinical cohort study

25 August 2023 (07:30 - 18:30)
Organised by: Logo
Congress Presentation Part of: Is artificial intelligence gaining ground in valvular heart disease? Aortic Valve Stenosis ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

Photo
Associate Professor Jordan Strom

Beth Israel Deaconess Medical Center, Boston (United States of America)

5 More presentations in this session

Presentation thumbnail
Assessment of aortic valve function in over 47,000 people using deep learning
Doctor S. Kany (Hamburg, DE)
Abstract Slides Video
Presentation thumbnail
Artificial intelligence-enabled electrocardiogram in the detection of patients at risk of atrial functional mitral regurgitation
Doctor J. Naser (Rochester, US)
Abstract Slides Video
Presentation thumbnail
Decoding calcific mitral valve disease: a novel deep learning model uncovers the role of calcium burden
Doctor S. Arif (Montreal, CA)
Abstract Slides Video
Presentation thumbnail
Patient-specific computer modelling to predict anatomical risk factors preventing post transcatheter aortic valve implantation coronary re-access in bicuspid aortic valve; a modelling study.
Doctor J. Dargan (London, GB)
Abstract Slides Video
Presentation thumbnail
Impact of hypertension on mean transvalvular gradients in aortic stenosis Lessons learned from in silico modelling
Doctor J. Jacques (Cape Town, ZA)
Abstract Slides Video

Access the full session

Session thumbnail
Is artificial intelligence gaining ground in valvular heart disease?

The Event

Event poster

ESC Congress 2023

25 August - 28 August 2023

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources