ESC 365 - Machine-learning based scoring system to predict cardiogenic shock in acute coronary syndrome

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Machine-learning based scoring system to predict cardiogenic shock in acute coronary syndrome

Session: Registries, observational, and other studies on artificial intelligence

Topic: Cardiogenic Shock

Speaker: Doctor A. Bohm (Bratislava, SK)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Allan Bohm

Premedix & Seerlinq, Bratislava (Slovakia)

11 presentations

2 followers

5 more presentations in this session

Artificial intelligence-based prediction of mortality, bleeding, and ischaemic events in cancer patients with acute coronary syndrome: A modelling study in the UK and Switzerland

Speaker: Doctor F. Wenzl (Zurich, CH)

Artificial intelligence for analysis of ambulatory electrocardiography

Speaker: Doctor L. Johnson (Malmo, SE)

Heart Failure detection using Artificial Intelligence for diagnostic decision support applied to echocardiography - HFDetect-AI

Speaker: Professor G. Strange (Sydney, AU)

MitrAI score: machine learning models to predict mortality at 12, 24, 36 and 48 months in patients with primary and secondary mitral regurgitation treated by transcatheter edge-to-edge repair.

Speaker: Doctor L. Biasco (Cirie, IT)

Machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction

Speaker: Doctor B. Toprak (Hamburg, DE)

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Registries, observational, and other studies on artificial intelligence

Speakers: Doctor A. Bohm, Doctor F. Wenzl, Doctor L. Johnson, Professor G. Strange, Doctor L. Biasco...

About the event

ESC Congress 2024

30 August - 2 September 2024

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