ESC Professional Premium Access

Multivariate time-series clustering of cardiopulmonary exercise test data for cardiovascular risk stratification

Congress Presentation

About the speaker

Mr Evangelos Ntalianis

Leuven (Belgium)
0 follower

8 more presentations in this session

Machine learning approach for detection of valvular heart disease through digital cardiac auscultation: results from multi-center prospective cross-sectional study

Speaker: Professor I. Jung (Yongin, KR)

Thumbnail

Digitisation of electrocardiographic images enable artificial intelligence-based mortality prediction

Speaker: Doctor K. Patlatzoglou (London, GB)

Thumbnail

Scan-rescan variability of AI-enabled cardiac functional assessment from cine CMR

Speaker: Miss D. Wickremasinghe (London, GB)

Thumbnail

Artificial intelligence-enhanced electrocardiography predicts 10-year risk of atherosclerotic cardiovascular disease

Speaker: Mr H. Zhang (London, GB)

Thumbnail

Visually evaluated performance of two AI algorithms detecting cardiac rhythm

Thumbnail

Access the full session

Breakthroughs in artificial intelligence-powered cardiac diagnosis and risk prediction

Speakers: Mr E. Ntalianis, Professor I. Jung, Doctor K. Patlatzoglou, Miss D. Wickremasinghe, Mr H. Zhang
Thumbnail

About the event

Image

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations