The goal of this study is to prospectively assess the diagnostic agreement of PEM fellow-performed cardiac POCUS and of AI-assisted interpretation using the Exo Iris probe, as compared to a complete echocardiography for detecting left ventricular (LV) systolic dysfunction and pericardial effusion in children with preexisting cardiac disease.
Investigators hypothesize that PEM fellow-performed cardiac POCUS, when supported by AI analysis for LV dysfunction, will demonstrate diagnostic accuracy comparable to complete echocardiogram interpretation in identifying (1) pericardial effusion and (2) left ventricular systolic dysfunction in children with preexisting cardiac disease. Investigators anticipate that AI will improve accuracy and image interpretation confidence among trainees. Prospective evaluation of this method may influence future ED workflows, enhance resource utilization, support training pathways, and potentially reduce time to diagnosis in this high-risk pediatric population.
Study Type
OBSERVATIONAL
Enrollment
200
assess the diagnostic agreement of PEM fellow-performed cardiac POCUS and of AI-assisted interpretation using the Exo Iris probe, as compared to a complete echocardiography for detecting left ventricular (LV) systolic dysfunction and pericardial effusion in children with preexisting cardiac disease who present to the Emergency Department (ED) and are evaluated in the cardiology setting.
Nicklaus Children's Hospital
Miami, Florida, United States
presence of pericardial effusion and LV systolic dysfunction
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
Time frame: 2 years
Paul Khalil, MD Medical Director Care Ultrasound Program, MD
CONTACT
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.