AI-based Prediction of Cardiac Function Using Echocardiography and Body Composition Data (ECHO-FIT Study)
Recruiting
Observational Study
Heart Failure
Left Ventricular (LV) Systolic Dysfunction
Body Composition Measurement
Artificial Intelligence (AI)
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
Healthy Volunteers Welcome
You do not need to have the condition being studied to take part.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 20 and older
- Sex
- Any
- Study type
- Observational
- Participants needed
- 2,000 (estimated)
- Sponsor
- Yonsei University · Other
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About This Trial
This prospective observational study (ECHO-FIT Study) aims to develop and validate a predictive model for cardiac function, particularly left ventricular ejection fraction (LVEF), by integrating echocardiographic measurements with body composition data obtained from the QCCUNIQ BC 720 device.
The study plans to enroll 2,000 adult participants, comprising 1,000 individuals with normal LVEF (≥50%) …
Trial Locations
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Eligibility Criteria
Inclusion Criteria:
* Aged 20 years or older.
* Undergoing a standard echocardiographic examination.
* Providing consent to undergo body composition analysis.
* Signing the informed consent form to voluntarily participate in the study.
Exclusion Criteria:
* Having a physical or mental condition t…
Contacts