A Study Of Heart Disease Using AI-Enabled Electrocardiography And Focused Cardiac Ultrasound
Screening for Heart Disease Using AI-Enabled Electrocardiography and Focused Cardiac Ultrasound: the AI CVD Screen Study.
Mayo Clinic
19,300 participants
Mar 9, 2026
INTERVENTIONAL
Conditions
Summary
A study to evaluate feasibility, diagnostic yield, accuracy, and actionable thresholds of POC, immediate-feedback AI-ECG + AI FoCUS screening for cardiac disease in well described community populations.
Eligibility
Inclusion Criteria9
- Adolescents and young adults:
- Enrollment in a high-school, college or a resident in MN during the study period
- Age 15-29 years
- Informed consent (and assent for minors)
- Adult patients (>30 years of age, with pre-specified subgroups 30-64 and 65+))
- Adult female aged 18 to 49 years
- Pregnant at the time of enrollment
- Receiving obstetric care at identified study site(s)
- Willing and able to provide informed consent
Exclusion Criteria6
- Presence of a pacemaker or defibrillator
- Inability to obtain a quality ECG tracing
- Community dwelling adults:
- Inability to provide informed consent to participate in the study
- Pregnant women:
- Inability to provide consent
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Interventions
Focused cardiac ultrasound will utilize sonography to evaluate specific cardiac conditions, such as ventricular function, pericardial effusion, and valvular abnormalities.
A 6-lead ECG uses six electrodes placed on the chest and limbs to record the heart's electrical activity from multiple perspectives.
A standard 12-lead ECG consists of 12 leads: 6 limb leads and 6 chest (precordial) leads. These leads record the heart's electrical activity from different angles to provide a comprehensive assessment of cardiac function.
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT07351656