Detection and risk stratification of cardiac amyloidosis patients by integration of imaging and non-imaging data using a machine learning approach

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Detection and risk stratification of cardiac amyloidosis patients by integration of imaging and non-imaging data using a machine learning approach

Session: Innovations in cardiac health prediction: integrating deep learning with multimodal data analysis

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor C. Spielvogel (Vienna, AT)

Event: ESC Congress 2024

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About the speaker

Doctor Clemens Spielvogel

Medical University of Vienna, Vienna (Austria)

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Speaker: Doctor G. Siontis (Bern, CH)

Standardization of transthoracic impedance values for estimating heart failure and its utility

Speaker: Doctor D. Nose (Fukuoka, JP)

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Speaker: Associate Professor Y. Nakao (Kyoto, JP)

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Innovations in cardiac health prediction: integrating deep learning with multimodal data analysis

Speakers: Doctor C. Spielvogel, Associate Professor K. Lee, Mr I. Vatsaraj, Doctor G. Siontis, Doctor D. Nose...

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ESC Congress 2024

30 August - 2 September 2024

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