ESC 365 - How does lead selection impact diagnosis through AI? Implications for continuous monitoring systems using convolutional neural networks

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How does lead selection impact diagnosis through AI? Implications for continuous monitoring systems using convolutional neural networks

Session: Artificial intelligence innovations in cardiac risk assessment and disease prediction

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Professor J. Millet (Valencia, ES)

Event: ESC Congress 2024

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Professor Jose Millet

Universitat Politecnica de Valencia, Valencia (Spain)

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6 more presentations in this session

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

Speaker: Doctor P. Avila Alonso (Madrid, ES)

Deep learning enables the fully automated quantification of high-resolution cardiac CT images: human in loop for model development

Speaker: Mr G. Baj (IT)

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Artificial intelligence innovations in cardiac risk assessment and disease prediction

Speakers: Professor J. Millet, Mr A. Sturge, Doctor R. Avram, Mr J. Cho, Doctor P. Avila Alonso...

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ESC Congress 2024

30 August - 2 September 2024

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