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

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 \