ESC Premium Access

Improving cardiovascular risk stratification with ECG-predicted risk factors in primary prevention

Congress Presentation

About the speaker

Mr Marius Sebastian Knorr

Hamburg (Germany)
0 follower

8 more presentations in this session

Identifying at-risk patients for atrial high-rate episodes by machine learning

Speaker: Doctor Y. Chen (Liverpool, GB)

Thumbnail

Improving prognostic accuracy in ischemic cardiomyopathy: the CMR-LGE score

Speaker: Doctor A. Unger (Brussels, BE)

Thumbnail

Time-series clustering of raw recordings of 24-hour ambulatory blood presssure for risk stratification in general population

Speaker: Mr E. Ntalianis (Leuven, BE)

Thumbnail

To compare 24 hour blood pressure values of a conventional 24 hours ambulatory blood pressure device versus a wristband using an artificial intelligence algorithm based on photophletysmography

Speaker: Doctor E. Ronner (Delft, NL)

Thumbnail

AI-based cluster analysis enables outcomes prediction among patients with increased LVM

Speaker: Doctor Y. Bitton (Jerusalem, IL)

Thumbnail

Access the full session

Artificial intelligence-powered cardiovascular risk assessment: machine learning for disease detection

Speakers: Mr M. Knorr, Doctor Y. Chen, Doctor A. Unger, Mr E. Ntalianis, Doctor E. Ronner...
Thumbnail

About the event

Image

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations