Skip to content

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.

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07351656
Enrollment
19300
Registered
2026-01-20
Start date
2026-03-09
Completion date
2028-02-01
Last updated
2026-08-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Heart Disease

Brief 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.

Interventions

Focused cardiac ultrasound will utilize sonography to evaluate specific cardiac conditions, such as ventricular function, pericardial effusion, and valvular abnormalities.

DIAGNOSTIC_TEST6-Lead AI-ECG

A 6-lead ECG uses six electrodes placed on the chest and limbs to record the heart's electrical activity from multiple perspectives.

DIAGNOSTIC_TEST12-Lead AI-ECG

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.

Sponsors

Mayo Clinic
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Adolescents and young adults: Inclusion Criteria: * Enrollment in a high-school, college or a resident in MN during the study period * Age 18-29 years * Informed consent (and assent for minors)

Exclusion criteria

* Presence of a pacemaker or defibrillator * Inability to obtain a quality ECG tracing Community dwelling adults: Inclusion Criteria: • Adult patients (\>30 years of age, with pre-specified subgroups 30-64 and 65+))

Design outcomes

Primary

MeasureTime frameDescription
Percentage of participants with positive AI-ECG findings confirmed by echocardiography (Adolescents and young adults)BaselineThe percentage will be calculated as the number of participants whose AI-ECG results indicate a positive finding and are subsequently confirmed by echocardiography, divided by the total number of participants assessed, multiplied by 100.
Number of patients with positive AI-ECG detection for left-right sided SHD (Community Dwelling Adults)BaselineNumber of patients with positive AI-ECG detection for left-right sided SHD, defined as any of the following: LVEF \<50%, \>moderate right ventricular systolic dysfunction, \>moderate aortic, mitral, or tricuspid valve regurgitation or stenosis, pulmonary hypertension (right ventricular systolic pressure \> 50 mmHg), or elevated left-sided filling pressure.
Number of times the AI-ECG provides a correct diagnosis of clinically significant cardiac disease (Pregnant women)BaselineDiagnostic performance of the AI-ECG will be determined by the accurate diagnosis of cardiomyopathy (left ventricular ejection fraction \[LVEF\] ≤50% or 10% or more decline in LVEF) or clinically significant structural heart disease (SHD; ≥ moderate right ventricular systolic dysfunction, ≥ moderate aortic, mitral, or tricuspid valve regurgitation or stenosis, pulmonary hypertension \[right ventricular systolic pressure \> 50 mmHg\], or myocardial disease such as hypertrophic cardiomyopathy) in pregnant patients and those up to 6 weeks postpartum compared to standard of care.

Secondary

MeasureTime frameDescription
Number of false positive AI-ECG Results (Adolescents and young adults)BaselineNumber of false positive AI-ECG results will be determined by the number of positive AI-ECG results proven false from an echocardiography
Number of positive AI-ECG results for hypertrophic cardiomyopathy (HCM) (Adolescents and young adults)BaselineThe number of positive AI-ECG results for HCM will be based on how many patient ECGs indicate a possible diagnosis of HCM
Number of positive AI-ECG results for congenital heart defect (CHD) (Adolescents and young adults)BaselineThe number of positive AI-ECG results for CHD will be based on how many patient ECGs indicate a possible diagnosis of CHD
Proportion of patients by age group to receive a diagnosis (Community Dwelling Adults)BaselineProportion of patients by age group (30-39, 40-49, 50-65, 65-74, and 75 years and older) to receive a diagnosis from ultrasound that is confirmed by a comprehensive diagnostic work up.
Proportion of total patients to receive a diagnosis based on screening with 6 lead ECG (Community Dwelling Adults)BaselineProportion of total patients to receive a diagnosis based on screening with 6 lead ECG will be determined by the number of patients to have a correct diagnosis using the 6 lead ECG confirmed by echocardiogram compared to the total number of patients.
Proportion of total patients to receive a diagnosis based on screening with 12 lead ECG (Community Dwelling Adults)BaselineProportion of total patients to receive a diagnosis based on screening with 12 lead ECG will be determined by the number of patients to have a correct diagnosis using the 12 lead ECG confirmed by echocardiogram compared to the total number of patients.
Proportion of total patients to receive a diagnosis based on screening with 12 lead only AI-ECG with adjunctive FoCUS (Community Dwelling Adults)BaselineProportion of total patients to receive a diagnosis based on screening with 12 lead only AI-ECG with adjunctive FoCUS will be determined by the number of patients to have a correct diagnosis using the 12 lead ECG with adjunctive FoCUS confirmed by standard of care echocardiogram compared to the total number of patients.
Proportion of total patients to receive a diagnosis based on screening with 12 lead only AI-ECG without adjunctive FoCUS (Community Dwelling Adults)BaselineProportion of total patients to receive a diagnosis based on screening with 12 lead only AI-ECG without adjunctive FoCUS will be determined by the number of patients to have a correct diagnosis using the 12 lead ECG without adjunctive FoCUS confirmed by standard of care echocardiogram compared to the total number of patients.
Number of non-cardiac adverse events (Pregnant Women)BaselineNumber of non-cardiac adverse events can include hypertensive disorders of pregnancy (gestational hypertension, pre-eclampsia, eclampsia), preterm delivery, gestational diabetes, small for gestational age delivery, placental abruption, and pregnancy loss.

Countries

United States

Contacts

CONTACTAmanda Priebe
Priebe.Amanda@mayo.edu507-422-6932
PRINCIPAL_INVESTIGATORPaul Friedman, MD

Mayo Clinic

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 21, 2026