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

Congress Presentation

About the speaker

Doctor Alexandre Unger

Erasme Academic Hospital – Université Libre De Bruxelles (Ulb), Brussels (Belgium)
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8 more presentations in this session

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

Speaker: Doctor Y. Chen (Liverpool, GB)

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

Speaker: Mr M. Knorr (Hamburg, DE)

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

Speaker: Mr E. Ntalianis (Leuven, BE)

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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)

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

Speaker: Doctor Y. Bitton (Jerusalem, IL)

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Access the full session

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

Speakers: Doctor A. Unger, Doctor Y. Chen, Mr M. Knorr, Mr E. Ntalianis, Doctor E. Ronner...
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About the event

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ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations