AI-DRIVEN EARLY WARNING SYSTEMS FOR SEPSIS DETECTION IN ICU SETTINGS: A STRUCTURED REVIEW OF PREDICTIVE PERFORMANCE, CLINICAL INTEGRATION AND EQUITY OUTCOMES
Background: Sepsis remains a primary cause of mortality and organ dysfunction in Intensive Care Units (ICUs) globally. Although AI models show considerable promise for the early identification of sepsis, moving these tools from retrospective performance to bedside utility is hindered by socio-technical barriers, workfl...