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Artificial Intelligence to Aid Early Detection of Heart Failure With Preserved Ejection Fraction

Andreas B Gevaert1,2, Caroline M Van De Heyning1,2, Jasper Tromp3,4

  • 1Research Group Cardiovascular Diseases, GENCOR Department, University of Antwerp, Antwerp, Belgium.

JACC. Advances
|June 28, 2024
PubMed
Abstract

No abstract available in PubMed .

Keywords:
HFpEFartificial intelligencedeep learningdiagnosisechocardiography

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Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
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