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

30 August 2024 (08:00 - 17:30)
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Congress Presentation Part of: Registries, observational, and other studies on artificial intelligence Cardiogenic Shock ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Associate Professor Allan Bohm

Premedix & Seerlinq, Bratislava (Slovakia)

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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
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Artificial intelligence for analysis of ambulatory electrocardiography
Doctor L. Johnson (Malmo, SE)
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Heart Failure detection using Artificial Intelligence for diagnostic decision support applied to echocardiography - HFDetect-AI
Professor G. Strange (Sydney, AU)
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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.
Doctor L. Biasco (Cirie, IT)
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Machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction
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Registries, observational, and other studies on artificial intelligence
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The Event

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ESC Congress 2024

30 August - 2 September 2024

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources