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AI-ECG sex-estimation discordances predict cardiovascular events

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Mr Giovanni Multinu

Mayo Clinic Hospital-Rochester, Rochester (United States of America)
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Comparison of machine learning and traditional methods for prediction of adverse clinical events after percutaneous coronary intervention

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Predicting physical fitness levels from resting ECG data: a machine learning approach in cardiovascular assessment

Speaker: Mrs M. Cohen-Shelly (Ramat Gan, IL)

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Revolutionising patient care: the role of AI-generated avatars in healthcare consultations

Speaker: Professor P. Then (Kuching, MY)

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Exploring the role of AI-driven chatbots in patient care: a critical evaluation amidst healthcare staff shortages

Speaker: Associate Professor R. Olszewski (Warsaw, PL)

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A deep learning model for syncope recognition in the emergency department

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Artificial intelligence in cardiovascular medicine: from prediction to transformation of patient care

Speakers: Mr G. Multinu, Doctor A. Zaka, Mrs M. Cohen-Shelly, Professor P. Then, Associate Professor R. Olszewski...
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ESC Congress 2024

30 August - 2 September 2024

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