Actively Recruiting
Detection of Reduced Left Ventricular Ejection Fraction With Three-Lead ECG Using Artificial Intelligence
Led by Eko Devices, Inc. · Updated on 2025-12-18
500
Participants Needed
1
Research Sites
65 weeks
Total Duration
On this page
AI-Summary
What this Trial Is 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.
CONDITIONS
Official Title
Detection of Reduced Left Ventricular Ejection Fraction With Three-Lead ECG Using Artificial Intelligence
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 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
You will not qualify if you...
- Unwilling or unable to provide informed consent
- Patients who are hospitalized
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
P. D. Hinduja Hospital and Medical Research Centre
Mumbai, Maharashtra, India, 400016
Actively Recruiting
Research Team
C
Clinical Research Associate
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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