AI in Emergency Medicine: Optimizing Triage and Resource Allocation
Abstract
Emergency medicine benefits significantly from AI-driven tools for triage, resource allocation, and patient prioritization. This paper reviews algorithms used in predicting patient outcomes, managing emergency room workflows, and detecting critical conditions. Case studies demonstrate how AI improves efficiency and reduces response times in emergency settings. Challenges in real-time data processing and integration into existing systems are addressed.
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