Using AI to Diagnose Heart Conditions in Outpatients

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study evaluates the effectiveness of two artificial intelligence-enabled electrocardiogram (AI-ECG) models designed to detect aortic stenosis and diastolic dysfunction in an outpatient setting. The AI-ECG models have shown promising sensitivity and specificity but have not been prospectively tested in clinical practice. Participants aged 60 and older who are scheduled for a clinical ECG will be assessed using these AI models, followed by a focused point-of-care ultrasound for those who test positive. The goal is to determine the clinical utility of these AI tools in diagnosing heart conditions, particularly in areas with limited access to advanced medical care.

Why it matters

Who can join: the full rules

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.

Where it's running

• Mayo Clinic
  Rochester, Minnesota, United States Recruiting

Study contacts

• Principal investigator: Jae Oh, M.D. — Mayo Clinic
• Study coordinator: Brian Rudquist
• Email: Rudquist.Brian@mayo.edu
• Phone: (507) 538-5146

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.