Actively Recruiting
AI in Outpatient Practice for Diagnosing Aortic Stenosis and Diastolic Dysfunction
Led by Mayo Clinic · Updated on 2026-03-04
2000
Participants Needed
1
Research Sites
120 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
AI in Outpatient Practice for Diagnosing Aortic Stenosis and Diastolic Dysfunction
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Be 60 years of age or older
- Have a scheduled clinical electrocardiogram (ECG) performed
You will not qualify if you...
- Be younger than 60 years old
- Not scheduled for a clinical electrocardiogram (ECG)
- Unable to provide consent
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Mayo Clinic
Rochester, Minnesota, United States, 55905
Actively Recruiting
Research Team
B
Brian Rudquist
CONTACT
J
Jae Oh, M.D.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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