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.
Children aged 0-21 years
Preexisting cardiac disease
Participants are either evaluated in the ED or in the cardiology setting.
Participant's clinical condition requires immediate life-saving interventions
New diagnosis of cardiac condition
Preexisting cardiac abnormality documented prior to the index encounter.
Children aged 0-21 years with preexisting cardiac disease will be for inclusion if participants are either evaluated in the ED or in the cardiology setting. Eligible ED patients will undergo cardiac POCUS and AI assessment as part of participant's clinical assessment, while participants evaluated in the cardiology setting will undergo fellow-performed cardiac POCUS with concurrent AI-based image assessment as part of the study protocol.
Cohort
Prospective
AI Pocus_Cardiac
Diagnostic testassess 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.
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
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