Evaluating Cardiac POCUS and AI for Children with Heart Conditions
This observational study is looking at how well a cardiac Point-of-Care Ultrasound (POCUS) performed by emergency medicine (PEM) fellows, and an AI-assisted interpretation using the Exo Iris probe, can detect heart problems in children. Specifically, it's comparing these methods to a full echocardiogram (a detailed heart ultrasound) for finding left ventricular (LV) systolic dysfunction (when the heart's main pumping chamber doesn't squeeze well) and fluid around the heart (pericardial effusion). Children aged 1 month to 21 years with existing heart conditions can join. The study aims to see if these newer methods are as accurate as a full echocardiogram. The study is currently recruiting 200 participants, but its overall status is unclear.
- Study design
- This is an observational study planning to enroll 200 participants. It compares different diagnostic methods without assigning specific treatments.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoints, presence of pericardial effusion and LV systolic dysfunction, will be measured at 2 years.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Prospective Evaluation of Cardiac Point-of-Care Ultrasound (POCUS) Performed by PEM Fellows and Artificial Intelligence on Children With Pre-existing Cardiac Conditions.
At a glance
Conditions
Where it's being run
1 sites across 1 statesWho to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- presence of pericardial effusion and LV systolic dysfunction2 years
Diagnostic test characteristics (sensitivity, specificity, predictive values, and the Kappa statistic) for PEM fellow interpretation and AI interpretation will be calculated using complete echocardiography as the reference standard