Deep Learning Enhanced Detection of Aortic Stenosis - The DETECT-AS-Diagnostic Study

ID#: NCT06749145

Age: 70 years - 66+

Gender: All

Healthy Subjects: Accepts Healthy Volunteers

Study Phase: N/A

Recruitment Status: Enrolling by invitation

Start Date: September 16, 2025

End Date: August 31, 2028

Summary: The DETECT-AS Diagnostic Study will assess the performance of artificial intelligence (AI) risk predictions to detect aortic stenosis using results from portable electrocardiogram (ECG) and cardiac ultrasound devices.
Eligibility:

Inclusion Criteria:

- Age 70 years or older

- Attending a routine outpatient primary care clinic at one of the three enrollment sites

Exclusion Criteria:

- Opted out of research studies

- Non-English speaking

- Urgent or emergent visits, defined as a visit for an illness or injury that needs attention quickly or is life-threatening

- Any echocardiogram within 12 months of clinic visit

- Prior history of moderate or severe AS

- Prior history of aortic valve replacement or repair, including transcatheter and surgical AVR with either a bioprosthetic or mechanical valve

- Presence of implantable cardiac devices, including permanent cardiac pacer, implantable cardioverter-defibrillator, or left ventricular assist device

- Prior heart transplant

- History of dementia

- Documented life expectancy of <1 year or current participation in hospice services.
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