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A Study Of Heart Disease Using AI-Enabled Electrocardiography And Focused Cardiac Ultrasound

NCT07351656 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 19300

Last updated 2026-05-14

No results posted yet for this study

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.

Conditions

Interventions

DIAGNOSTIC_TEST

Focused Cardiac Ultrasound

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

DIAGNOSTIC_TEST

6-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_TEST

12-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 & Collaborators

Principal Investigators

  • Paul Friedman, MD · Mayo Clinic

Study Design

Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
15 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-03-09
Primary Completion
2028-02-29
Completion
2028-02-29

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07351656 on ClinicalTrials.gov