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.

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.

A de-identified dataset will be made available following publication of primary results.