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Machine learning methods for diagnostic disease prediction and treatment decisions in parvovirus B19 positive viral cardiomyopathy

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Doctor Christian Baumeier

Institute of Cardiac Diagnostics and Therapy (IKDT), Berlin (Germany)
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7 more presentations in this session

Accurate detection of dilated cardiomyopathy onset through machine learning predictions from ECG data

Speaker: Doctor E. Sieliwonczyk (Antwerpen, BE)

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Long-term clinical outcomes informed by artificial intelligence-enabled single-lead ECG detection of reduced ejection fraction

Speaker: Mr A. Alrumayh (London, GB)

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Construction of an inflammatory, nutritional, and metabolic prognostic risk score in patients with heart failure with preserved ejection fraction: a machine learning-based approach

Speaker: Doctor J. Feng (Beijing, CN)

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Artificial intelligence to detect pulmonary congestion on chest computed tomography in consecutive dyspnoeic patients

Speaker: Professor O. Nielsen (Copenhagen, DK)

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Diagnostic and prognostic evaluation of an echocardiography-based artificial intelligence algorithm for detecting HFpEF: a case-control analysis

Speaker: Assistant Professor A. Chandra (Dallas, US)

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Machine-learning approaches for the diagnosis of heart failure

Speakers: Doctor C. Baumeier, Doctor E. Sieliwonczyk, Mr A. Alrumayh, Doctor J. Feng, Professor O. Nielsen...
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About the event

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ESC Congress 2024

30 August - 2 September 2024

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