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Artificial intelligence in cardiology: a machine learning model for supraventricular tachycardia discrimination

31 August 2024 (14:00 - 14:40)
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Congress Presentation Part of: Artificial intelligence innovations in cardiac risk assessment and disease prediction Artificial Intelligence ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Pablo Avila Alonso

University Hospital Gregorio Maranon, Madrid (Spain)

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How does lead selection impact diagnosis through AI? Implications for continuous monitoring systems using convolutional neural networks
Professor J. Millet (Valencia, ES)
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Prospective evaluation of an AI algorithm for real-time LVEF assessment in acute coronary syndrome using left coronary angiograms: the CathEF multicenter study
Doctor R. Avram (Montreal, CA)
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Machine learning model using heart rate variability for the prediction of vasovagal syncope
Mr J. Cho (Seoul, KR)
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Deep learning enables the fully automated quantification of high-resolution cardiac CT images: human in loop for model development
Mr G. Baj (Bern, CH)
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Artificial intelligence innovations in cardiac risk assessment and disease prediction

The Event

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ESC Congress 2024

31 August 2024 14:00 CET
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