Apply to trial NCT07202104

A few quick questions so the study team can decide if you might be a fit.

RecruitingDevice study

Improvement of an Algorithm to Detect Structural Heart Murmurs in Adult Patients Using Electronic Stethoscopes

The main objective of this study is to evaluate a machine learning model's ability to detect murmurs indicative of structural heart disease ("structural murmur") by analyzing phonocardiogram waveforms-and simultaneous electrocardiogram waveforms when available-in multiple auscultatory positions per subject. Diagnosis of structural murmur will be confirmed by gold-standard echocardiography and reviewed by an expert panel of cardiologists.

How this works

  1. Answer a few questions

    About 5 to 10 minutes. Skip-friendly where possible.

  2. We forward your profile to the study team

    They see only the answers needed to decide if you can be screened.

  3. The team reaches out to schedule screening

    Usually within a few business days, via the contact you give.

We save your progress under this email so you can come back later, and the study team uses it to reach you.

By clicking Start, you agree to our terms of service.