Using smartphone auscultation and machine learning to detect aortic stenosis
Detection of Aortic Stenosis With Smartphone Auscultation Using Machine Learning (HEARTBEAT-Pilot)
This study is testing a smartphone app that uses sound recordings and smart technology to see if it can help doctors find aortic stenosis earlier than traditional methods.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 100 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Friedrich-Alexander-Universität Erlangen-Nürnberg Academic / other |
| Locations | 1 site (Erlangen) |
| Trial ID | NCT06404437 on ClinicalTrials.gov |
What this trial studies
This study explores the use of a smartphone application that leverages built-in microphones and machine learning to diagnose severe aortic stenosis, a common heart valve condition. Traditionally, diagnosis occurs after symptoms appear, but this study aims to provide a quicker and more accessible screening method. By recording heart sounds from patients with and without aortic stenosis, the study seeks to determine the effectiveness of this digital approach compared to standard echocardiography. The goal is to facilitate earlier detection and treatment of asymptomatic cases, potentially improving patient outcomes.
Who should consider this trial
Good fit: Ideal candidates are adults aged 18 and older with either severe aortic stenosis or no relevant heart valve disease.
Not a fit: Patients who have previously undergone surgical or interventional therapy for a heart valve will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to earlier diagnosis and treatment of aortic stenosis, improving patient survival rates.
How similar studies have performed: While traditional methods for diagnosing aortic stenosis are well-established, the use of smartphone technology and machine learning for this purpose is a novel approach that has not been widely tested.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years * No relevant heart valve disease or severe aortic stenosis with no other relevant heart valve disease in echocardiography no older than 3 months Exclusion Criteria: * Previous surgerical or interventional therapy of a heart valve
Where this trial is running
Erlangen
- Deparment of Medicine 2 - Cardiology and Angiology, Friedrich-Alexander-Universität Erlangen-Nürnberg — Erlangen, Germany (Recruiting)
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.