Detection of Reduced Left Ventricular Ejection Fraction With Three-Lead ECG Using Artificial Intelligence

Eko Devices

Status: Enrolling

Conditions: Low Ejection Fraction

Treatments: Device: Eko digital stethoscopes

Study type: Observational

Funder types: Industry

Identifiers

NCT07270692

2025.5

Details and patient eligibility

About

The main objectives of this study are to train and evaluate an algorithm that predicts whether an individual has an ejection fraction ≤ 40%, using heart sounds and a 3-lead ECG as inputs, as well as determine the impact of gender, age, and race on algorithm performance.

Enrollment: 500 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Adults aged 18 years and older
• Able and willing to provide informed consent
• Complete a clinical echocardiogram within 7 days before or after study procedures

Exclusion criteria

• Unwilling or unable to provide informed consent
• Patients who are hospitalized