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Electrocardiogram-based Artificial Intelligence-assisted Detection of Heart Disease

Electrocardiogram-based Artificial Intelligence-assisted Detection of Heart Disease

Status
Active, not recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05442203
Acronym
ECG-AID
Enrollment
1000
Registered
2022-07-01
Start date
2022-09-07
Completion date
2025-07-31
Last updated
2024-07-25

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

Conditions

Atrial Fibrillation, Structural Heart Disease

Keywords

Heart Disease, Structural Heart Disease, Machine Learning, Electrocardiogram, Atrial Fibrillation

Brief summary

Atrial fibrillation is an abnormal beating of the heart that can lead to stroke or heart failure. Structural heart diseases are conditions that affect the heart valves or heart muscle and can cause permanent heart damage if left untreated. Sometimes people have atrial fibrillation or structural heart disease and do not know it. The purpose of this study is to evaluate two devices that can predict who has or may develop atrial fibrillation or structural heart disease based on the results of an electrocardiogram.

Interventions

DEVICEZio Patch Monitor

Patch monitor will be applied and worn for a 2-week period at baseline, month 6, and month 12 after assignment to the AF arm.

DEVICEEchocardiogram

Ultrasound study of the heart will be completed upon patient consent after assignment to the SHD arm.

Sponsors

Tempus AI
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

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

Inclusion criteria

* Retrospective Phase: * Adults aged 40 or older. * At least 1 ECG obtained during routine clinical care. * Prospective Phase: * AF Cohort: * Adults aged 65 or older at the time of ECG. * ECG obtained as part of a clinical care. * Patient is able to identify a licensed healthcare provider to receive the results of the patch monitor. * SHD Cohort: * Adults aged 40 or older at the time of the ECG. * ECG obtained as part of a clinical care between study start date and the end of study recruitment * Patient is able to identify a licensed healthcare provider to receive the results of the echocardiogram.

Exclusion criteria

* Retrospective Phase: * Patients who have previously requested that their data not be involved in any secondary use application such as a research study. * Prospective Phase: * AF Cohort: * Any clinical or social factor that would prohibit completing the follow-up studies in a timely fashion. * Patient currently admitted to the hospital (at time of consent) * Permanent pacemaker or implanted cardiac defibrillator or implanted loop recorder. * History of atrial fibrillation or atrial flutter. * Cardiac surgery within 30 days prior to the index ECG * Cardiac surgery planned within the next 6 months. * Allergy to adhesive. * SHD Cohort: * Any clinical or social factor that would prohibit completing the follow-up studies in a timely fashion. * Patient currently admitted to the hospital (at time of consent). * History of SHD defined as any of the following: severe mitral regurgitation, severe tricuspid regurgitation, moderate or severe aortic stenosis, moderate or severe aortic regurgitation, moderate or severe mitral stenosis, left ventricular systolic dysfunction (LVEF ≤ 40%), or increased septal wall thickness \> 15 mm. * Allergy to ultrasound gel.

Design outcomes

Primary

MeasureTime frameDescription
Positive-predictive value (PPV) of the AF device at six months12 monthsAF will be defined by findings from the patch monitor, participant interview or the EHR-based phenotype definition and will be considered positive if a diagnosis occurs within 6 months of the index ECG.
Positive-predictive value (PPV) of the SHD device at six months12 monthsStructural heart disease will be defined as: * moderate or severe mitral stenosis, aortic regurgitation, or aortic stenosis * severe mitral or tricuspid regurgitation * LVEF ≤ 40% * Interventricular septal thickness \>15mm

Secondary

MeasureTime frameDescription
Positive-predictive value (PPV) of the AF device at 12 months18 monthsAF will be defined by findings from the patch monitor, participant interview or the EHR-based phenotype definition and will be considered positive if a diagnosis occurs within 12 months of the index ECG.
Positive-predictive value (PPV) of the SHD device at 12 months18 monthsStructural heart disease will be defined as: * moderate or severe mitral stenosis, aortic regurgitation, or aortic stenosis * severe mitral or tricuspid regurgitation * LVEF ≤ 40% * Interventricular septal thickness \>15mm

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026