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Predicting ECGs masquerading AS STEMI with machine learning

1 September 2024 (10:00 - 10:50)
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Congress Presentation Part of: Biomarkers and machine learning in acute coronary syndromes: pathways to precision diagnosis and stratification ST-Elevation Myocardial Infarction (STEMI) ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Sina Fathieh

Imperial College London, London (United Kingdom of Great Britain & Northern Ireland)

7 More presentations in this session

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Incidence of MINOCA in the high-sensitivity troponin era: a meta-analysis
Doctor P. Mikhail (Gosford, AU)
Abstract Slides Video
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External validation of a stepwise 0/1/3h algorithm to triage patients with suspected myocardial infarction
Doctor J. Lehmacher (Hamburg, DE)
Abstract Slides Video
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Multi-biomarker approach for predicting cardiac magnetic resonance parameters at 30 days after ST-segment elevation myocardial infarction
Professor R. Klingenberg (Frankfurt, DE)
Abstract Slides Video
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Safety and efficiency of modified HEART scores without troponin or electrocardiography: an analysis based on two European out-of-hours primary care cohorts
Miss I. Melessen (Amsterdam, NL)
Abstract Slides Video
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Comparing predictive risk to actual presence of coronary atherosclerosis on coronary computed tomography angiography: a retrospective cohort analysis
Professor S. Stewart (Fremantle, AU)
Abstract Slides Video

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Biomarkers and machine learning in acute coronary syndromes: pathways to precision diagnosis and stratification

The Event

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ESC Congress 2024

1 September 2024 10:00 CET
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ESC 365 is supported by

novartis Explore sponsored resources