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Deep-Learning based approach to ED chest pain risk stratification by ECG

Session: Artificial intelligence in acute coronary syndromes
Topic: Noninvasive Imaging
Speaker: Doctor S. Parsa (Stanford, US)
Event: ESC Congress 2025

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Doctor Shyon Parsa

Stanford Health Care, Stanford (United States of America)
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4 more presentations in this session

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

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

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Training and validation of an ECG-based deep-learning model for the early diagnosis of acute myocardial infarction

Speaker: Doctor T. Zimmermann (Basel, CH)

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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)

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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: Doctor S. Parsa, Mr D. Sesia, Doctor A. Kaura, Doctor T. Zimmermann, Doctor P. Lopez Ayala...
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ESC Congress 2025

29 August - 1 September 2025

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