Back

Multi-modality deep learning model for prediction of chronic obstructive coronary artery disease

30 August 2024 (08:00 - 17:30)
Organised by: Logo
Congress Presentation Part of: Outcomes in coronary artery disease Noninvasive Diagnostic Methods ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Doctor Rishi Trivedi

Cedars-Sinai Smidt Heart Institute, Los Angeles (United States of America)

5 More presentations in this session

Presentation thumbnail
Correlation between short-term quality of life improvement and clinical outcomes - a post-hoc ISCHEMIA trial analysis
Doctor T. Caldonazo (Jena, DE)
Abstract Slides Video
Presentation thumbnail
One-year results from the REDUCER-I multi-center real-world clinical trial of the treatment of refractory angina with the coronary sinus Reducer
Professor S. Verheye (Antwerp, BE)
Abstract Slides Video
Presentation thumbnail
Outcomes by race and ethnicity in patients undergoing percutaneous coronary intervention of chronic total occlusion
Doctor M. Petrovic (Philadelphia, US)
Abstract Slides Video
Presentation thumbnail
Prognostic impact of the presence and absence of angina on mortality and cardiovascular outcomes in the ISCHEMIA trial
Doctor A. Singh (Los Angeles, US)
Abstract Slides Video
Presentation thumbnail
Relationship between coronary artery calcium score and plaque vulnerability in patients with established coronary artery disease
Mr D. Fujimoto (Boston, US)
Abstract Slides Video

Access the full session

Session thumbnail
Outcomes in coronary artery disease
Video

The Event

Event poster

ESC Congress 2024

30 August - 2 September 2024

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources