• Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU*

    1 month ago - By Pediatric Critical Care Medicine

    Objectives:
    We used artificial intelligence to develop a novel algorithm using physiomarkers to predict the onset of severe sepsis in critically ill children.
    Design:
    Observational cohort study.
    Setting:
    PICU.
    Patients:
    Children age between 6 and 18 years old.
    Interventions:
    None.
    Measurements and Main Results:
    Continuous minute-by-minute physiologic data were available for a total of 493 critically ill children admitted to a tertiary care PICU over an 8-month period, 20 of whom developed severe sepsis. Using an alert time stamp generated by an electronic screening algorithm as a reference...
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