Detection of Aortic Stenosis With Smartphone Auscultation Using Machine Learning (HEARTBEAT-Pilot) - Trial NCT06404437
Access comprehensive clinical trial information for NCT06404437 through Pure Global AI's free database. This phase not specified trial is sponsored by Friedrich-Alexander-Universität Erlangen-Nürnberg and is currently Recruiting. The study focuses on Aortic Valve Stenosis. Target enrollment is 100 participants.
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Study Focus
Sponsor & Location
Friedrich-Alexander-Universität Erlangen-Nürnberg
Timeline & Enrollment
N/A
Mar 09, 2023
Oct 01, 2024
Primary Outcome
Algorithm Performance
Summary
Severe aortic stenosis, a common heart valve issue, is usually treated surgically or through
 intervention. Diagnosis typically occurs after symptoms appear, but research suggests already
 treating asymptomatic cases may help patients live longer. Current diagnostics using
 echocardiography are detailed but time-consuming, prompting the exploration of a smartphone
 application using built-in microphones and machine learning for quicker and more accessible
 screening.
ICD-10 Classifications
Data Source
ClinicalTrials.gov
NCT06404437
Non-Device Trial