Does an artificial intelligence model using physiomarkers predict severe sepsis earlier than a real-time electronic screening algorithm in critically ill children?
Artificial intelligence using physiomarkers can predict severe sepsis in critically ill children up to 8 hours earlier than standard electronic screening algorithms.
Artificial intelligence can be used to predict the onset of severe sepsis using physiomarkers in critically ill children. Further, it may detect severe sepsis as early as 8 hours prior to a real-time electronic severe sepsis screening algorithm.
Kamaleswaran et al. (Fri,) studied this question.