ESC 365 - Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI

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Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI

Session: Digital tools to inform decisions in aortic stenosis

Topic: Aortic Valve Stenosis

Speaker: Professor B. Meder (Heidelberg, DE)

Event: ESC Congress 2024

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About the speaker

Professor Benjamin Meder

University Hospital Heidelberg, Heidelberg (Germany)

12 presentations

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2 more presentations in this session

Deep learning to predict progression of aortic stenosis

Speaker: Doctor E. Oikonomou (New Haven, US)

TAVI vs. SAVR: a decision model

Speaker: Professor S. Bleiziffer (Bad Oeynhausen, DE)

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Digital tools to inform decisions in aortic stenosis

Speakers: Professor B. Meder, Doctor E. Oikonomou, Professor S. Bleiziffer

About the event

ESC Congress 2024

30 August - 2 September 2024

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