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

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

Session: Artificial intelligence in acute coronary syndromes

Topic: Biomarkers

Speaker: Mr D. Sesia (ZM) Doctor A. Kaura (London, GB)

Event: ESC Congress 2025

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About the speakers

Mr Dario Sesia

(Zambia)

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Doctor Amit Kaura

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

2 presentations

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4 more presentations in this session

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Speaker: Doctor S. Parsa (Stanford, US)

External validation of the ECG-SMART model: a machine learning algorithm for ECG diagnosis of occlusion myocardial infarction

Speaker: Doctor P. Lopez Ayala (Basel, CH)

Comparison of the discriminative ability of artificial neural networks and GRACE score for prediction of mortality in acute coronary syndromes.

Speaker: Doctor J. Struzka (Buenos Aires, AR)

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Artificial intelligence in acute coronary syndromes

Speakers: Mr D. Sesia, Doctor A. Kaura, Doctor T. Zimmermann, Doctor S. Parsa, Doctor P. Lopez Ayala...

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ESC Congress 2025

29 August - 1 September 2025

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