Research

Background

Aortic stenosis happens when the heart’s aortic valve becomes narrower, making it harder for blood to flow from the heart to the rest of the body. This condition affects more than 1.5 million Americans and can lead to debilitating symptoms and even death. Since many patients don’t show symptoms until their condition becomes severe, early diagnosis is critical for improving outcomes.

The Yale CarDS Lab has developed tools that use artificial intelligence (AI) and portable cardiac diagnostics to detect aortic stenosis. Currently, these tools are being tested in a national study to see how well they work in everyday medical practice.

About the study

DETECT- AS Diagnostic is a randomized clinical trial funded by the National Institute on Aging. It tests how well artificial intelligence (AI) can screen for advanced aortic stenosis in asymptomatic, older adults using simple, portable cardiac devices. The study seeks to enroll 410 older adults ages 70 and older across three health systems in the United States.

  • You may qualify if you are attending a participating clinic at an enrolling site and:

    • Are 70 or older

    • Do not have advanced aortic stenosis

    • Have not had a recent echocardiogram

  • The study can usually be completed in a single visit. It includes brief questionnaires and up to two non-invasive diagnostic tests, including:

    • 30-second portable ECG

    • Point-of-care cardiac ultrasound (some participants)

    Participants agree to share their medical records with researchers for one year after their study visit.

  • Participants will be compensated up to $50 for completing this study. Participants earn $25 for completing the portable ECG and an additional $25 for completing the point-of-care ultrasound, if applicable.

Learn More

Enrollment is limited to select health clinics at enrolling sites. If you have been contacted regarding enrollment in the study, please reach out to the relevant study team below. If you are interested in learning more about the study design or results, please visit the study page on clinicaltrials.gov.

Enrolling Sites