ESC2024 Premium Access

Comparison of machine learning and traditional methods for prediction of adverse clinical events after percutaneous coronary intervention

Congress Presentation

About the speaker

Doctor Ammar Zaka

Gold Coast University Hospital, Southport (Australia)
0 follower

8 more presentations in this session

AI-ECG sex-estimation discordances predict cardiovascular events

Speaker: Mr G. Multinu (Rochester, US)

Thumbnail

Predicting physical fitness levels from resting ECG data: a machine learning approach in cardiovascular assessment

Speaker: Mrs M. Cohen-Shelly (Ramat Gan, IL)

Thumbnail

Revolutionising patient care: the role of AI-generated avatars in healthcare consultations

Speaker: Professor P. Then (Kuching, MY)

Thumbnail

Exploring the role of AI-driven chatbots in patient care: a critical evaluation amidst healthcare staff shortages

Speaker: Associate Professor R. Olszewski (Warsaw, PL)

Thumbnail

A deep learning model for syncope recognition in the emergency department

Speaker: Doctor A. Giaj Levra (Rozzano, IT)

Thumbnail

Access the full session

Artificial intelligence in cardiovascular medicine: from prediction to transformation of patient care

Speakers: Doctor A. Zaka, Mr G. Multinu, Mrs M. Cohen-Shelly, Professor P. Then, Associate Professor R. Olszewski...
Thumbnail

About the event

Image

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations