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

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Doctor Alvin Chandra

UT Southwestern Medical Center, Dallas (United States of America)
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Accurate detection of dilated cardiomyopathy onset through machine learning predictions from ECG data

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

Speaker: Doctor C. Baumeier (Berlin, DE)

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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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Machine-learning approaches for the diagnosis of heart failure

Speakers: Doctor A. Chandra, Doctor E. Sieliwonczyk, Mr A. Alrumayh, Doctor C. Baumeier, Doctor J. Feng...
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ESC Congress 2024

30 August - 2 September 2024

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