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Leveraging machine learning for rapid rule-out of acute coronary syndrome

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Artificial intelligence in acute coronary syndromes Biomarkers ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speakers

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Mr Dario Sesia

(Zambia)

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Doctor Amit Kaura

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

4 More presentations in this session

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Training and validation of an ECG-based deep-learning model for the early diagnosis of acute myocardial infarction
Doctor T. Zimmermann (Basel, CH)
Abstract Slides Video
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Deep-Learning based approach to ED chest pain risk stratification by ECG
Doctor S. Parsa (Stanford, US)
Abstract Slides Video
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External validation of the ECG-SMART model: a machine learning algorithm for ECG diagnosis of occlusion myocardial infarction
Doctor P. Lopez Ayala (Basel, CH)
Abstract Slides Video
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Comparison of the discriminative ability of artificial neural networks and GRACE score for prediction of mortality in acute coronary syndromes.
Doctor J. Struzka (Buenos Aires, AR)
Abstract Slides Video

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Artificial intelligence in acute coronary syndromes
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The Event

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ESC Congress 2025

29 August - 1 September 2025
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ESC 365 is supported by

novartis Explore sponsored resources