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Artificial Intelligence in Detecting Cardiac Function
Sponsor: The Fourth Affiliated Hospital of Zhejiang University School of Medicine
Summary
The Korotkoff Sounds（KS）, which have been in use for over a century, are widely regarded as the gold standard for measuring blood pressure. Furthermore, their potential extends beyond diagnosis and treatment of cardiovascular disease; however, research on the KS remains limited. Given the increasing incidence of heart failure (HF), there is a pressing need for a rapid and convenient prehospital screening method. In this study, we propose employing deep learning (DL) techniques to explore the feasibility of utilizing KS methodology in predicting functional changes in cardiac ejection fraction (LVEF) as an indicator of cardiac dysfunction.
Official title: Korotkoff Sounds Dynamically Reflect Changes in Cardiac Function Based on Deep Learning Methods: A Prospective, Multicenter Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
685
Start Date
2024-06-01
Completion Date
2025-12-31
Last Updated
2025-02-17
Healthy Volunteers
No
Conditions
Locations (1)
The Fourth Hospital Affiliated to Zhejiang University School of Medicine
Yiwu, Zhejiang, China