ACCURACY OF ARTIFICIAL INTELLIGENCE IN PREDICTING SEPSIS FROM EMERGENCY LABORATORY PARAMETERS : A SYSTEMATIC REVIEW OF RANDOMISED CONTROLLED TRIALS AND PRIMARY STUDIES
Introduction: Sepsis remains among the most frequently missed diagnoses in the emergency department (ED), and the diagnostic pathway is critically dependent on the emergency laboratory. Conventional tools such as qSOFA, SIRS, and MEWS/NEWS discriminate poorly at triage, while single biomarkers (lactate, CRP, PCT, MDW)...