AI in Outpatient Practice for Diagnosing Aortic Stenosis and Diastolic Dysfunction

Recruiting now

Conditions studied: Aortic Stenosis, Diastolic Dysfunction

In brief

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.

Key facts

Study ID

NCT06580158

Run by

Mayo Clinic

People needed

2000

Starts

2024-11-08

Expected to finish

2027-03-01

Last updated by the study team

2026-03-04

Who can join

Age: 60 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• ≥ 60 years of age must have a clinical scheduled ECG performed.

You may not qualify if…

• < 59 years of age
• Is not scheduled for a clinical ECG
• Unable to provide consent.

Where it is running

• Mayo Clinic — Rochester, Minnesota, United States (enrolling)

Full record on ClinicalTrials.gov

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