Actively Recruiting
Clinical Utility of AI-Enabled Electrocardiograms to Diagnose Aortic Stenosis and Diastolic Dysfunction in Outpatient Practice
Led by Mayo Clinic · Updated on 2026-03-04
2000
Participants Needed
1
Research Sites
N/A
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are evaluating two newly developed artificial intelligence-enabled electrocardiogram (AI-ECG) models designed to detect aortic stenosis and diastolic dysfunction in outpatients aged 60 and older. These AI-ECG models show promising sensitivity and specificity but have not yet been tested prospectively to assess their real-world diagnostic and prognostic value, especially in settings with limited access to advanced medical care. Participants undergo their standard outpatient electrocardiogram (ECG), which is then processed through the AI-ECG Dashboard. If the AI-ECG indicates possible aortic stenosis or diastolic dysfunction, patients will receive a point-of-care ultrasound to confirm the diagnosis. The study is observational and involves no additional experimental treatments. During the study, researchers will track the number of patients with positive AI-ECG results and the quality of their ultrasound images. They will also compare AI-ECG findings with traditional transthoracic echocardiogram results. The study aims to understand the usefulness of AI-ECG in routine outpatient practice, with participation ongoing until March 2027.
CONDITIONS
Brief Title
AI in Outpatient Practice for Diagnosing Aortic Stenosis and Diastolic Dysfunction
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 60 years of age or older
- Scheduled for a clinical electrocardiogram (ECG)
- Able to provide consent
You will not qualify if you...
- Younger than 59 years of age
- Not scheduled for a clinical ECG
- Unable to provide consent
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Day of ECG and ultrasound
Participants undergo outpatient electrocardiograms processed through the AI-ECG Dashboard and a point of care ultrasound to confirm diagnosis.
1 visit (in-person)
Duration - Up to study completion in March 2027
Participants are observed for diagnostic outcomes comparing AI-ECG and ultrasound results.
Visit schedule as per routine outpatient care
Trial Site Locations
Total: 1 location
1
Mayo Clinic
Rochester, Minnesota, United States, 55905
Actively Recruiting
Research Team
B
Brian Rudquist
J
Jae Oh, M.D.
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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