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

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

Recruiting
18 years and older
All
Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

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.

Eligibility

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

Study details
    Low Ejection Fraction

NCT07270692

Eko Devices, Inc.

31 January 2026

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