Apply to trial NCT06580158

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

RecruitingDevice study

AI in Outpatient Practice for Diagnosing Aortic Stenosis and Diastolic Dysfunction

Two recently developed artificial intelligence-enabled electrocardiogram (AI-ECG) models have been developed to detect aortic stenosis (AS) and diastolic dysfunction (DD). AI-ECG for AS has a sensitivity of 78% and specificity of 74%, and AI-ECG for DD has a sensitivity of 83% and specificity of 80%. However, these models have never been prospectively applied to diagnose AS or DD, which may be useful for patients and providers from a diagnostic and prognostic perspective and especially in settings where access to higher- level medical care is limited. In this study, we aim to determine the clinical utility of these AI-ECG models by prospectively applying them to an outpatient cohort and then completing a focused point-of-care ultrasound to evaluate those who are AI-ECG positive for AS and DD.

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.