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ECG AI-Guided Screening for Low Ejection Fraction

Electrocardiogram Artificial Intelligence-Guided Screening for Low Ejection Fraction (EAGLE)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04000087
Acronym
EAGLE
Enrollment
358
Registered
2019-06-27
Start date
2019-06-26
Completion date
2020-11-01
Last updated
2023-05-31

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

Conditions

Asymptomatic Left Ventricular Systolic Dysfunction (Disorder), Heart Failure

Brief summary

This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of left ventricular systolic dysfunction.

Interventions

A novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of left ventricular systolic dysfunction.

Sponsors

Mayo Clinic
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE

Eligibility

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

Inclusion criteria

* Primary care clinicians who are part of a participating care team that care for adult patients and have the ability to order ECG and TTE (this includes physicians, nurse practitioners, and physician assistants).

Exclusion criteria

* Primary care clinicians working in pediatrics, acute care, nursing homes, and resident care teams.

Design outcomes

Primary

MeasureTime frameDescription
New Diagnosis of Low Ejection Fraction (defined as ejection fraction ≤50%)Within 90 daysEjection fraction obtained by echocardiography.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 1, 2026