AI in Emergency Medicine: Rapid Decision-Making for Critical Care

Abstract

Emergency medicine demands quick and accurate decision-making, and AI is proving invaluable in this high-stakes environment. This paper examines AI applications in triage systems, real-time diagnostics, and predictive analytics for patient deterioration. Case studies include AI tools for stroke detection and sepsis management. The study also highlights challenges such as ensuring reliability in life-critical situations, clinician trust in AI recommendations, and integrating AI into emergency workflows.