AI in Outpatient Practice for Diagnosing Aortic Stenosis and Diastolic Dysfunction
The Clinical Utility of Artificial Intelligence-enabled Electrocardiograms in the Outpatient Practice - Diagnosing Aortic Stenosis and Diastolic Dysfunction
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Jae Oh, M.D.
- Email: oh.jae@mayo.edu
Study Contact Backup
- Name: Brian Rudquist
- Phone Number: (507) 538-5146
- Email: Rudquist.Brian@mayo.edu
Study Locations
-
-
Minnesota
-
Rochester, Minnesota, United States, 55905
- Recruiting
- Mayo Clinic
-
Contact:
- Jae Oh, M.D.
- Email: oh.jae@mayo.edu
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- ≥ 60 years of age must have a clinical scheduled ECG performed.
Exclusion Criteria:
- < 59 years of age
- Is not scheduled for a clinical ECG
- Unable to provide consent.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Patients who are completing an outpatient electrocardiogram (ECG) at the Mayo Clinic.
|
Patients standard of care ECG's will be processed through the AI-ECG Dashboard
Patients will undergo a ultrasound to confirm diagnosis of atrial stenosis or diastolic dysfunction.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of patients with positive AI-ECG
Time Frame: Baseline
|
Positive AI-ECG will be determined by the sensitivity, specificity, positive predictive value, and negative predictive value.
|
Baseline
|
|
Number of studies with reasonable image quality in patients with positive AI-ECG
Time Frame: Baseline
|
Image quality will be determined by sonographers at the time of imaging and will be scored on a scale from 1-4:
|
Baseline
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of times the AI ECG and TTE (transthoracic echocardiogram) are statistically comparative
Time Frame: Baseline
|
Will be compared using parametric (2-sample t-test) and non-parametric tests (Wilcoxon rank sum test) for continuous variables, and the χ2 test or Fisher exact test for nominal variables.
A p-value of < 0.05 will be categorized as significant for the statistical analysis
|
Baseline
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Jae Oh, M.D., Mayo Clinic
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 24-000100
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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