THE ROLE OF ARTIFICIAL INTELLIGENCE IN EMERGENCY MEDICINE

Abstract

Artificial intelligence has been consolidating as one of the main drivers of transformation in healthcare, especially in emergency and urgent medicine, where speed and accuracy are crucial for preserving life. This study aimed to analyze the advances, limitations, and perspectives of using artificial intelligence in this context, highlighting its role as a support tool for triage, diagnosis, and hospital management. Through an integrative review of nine national scientific articles, it was possible to identify that the technology contributes to reducing waiting time, increasing accuracy in risk classification, and optimizing resources, promoting greater efficiency in services. Challenges were also observed regarding data protection, algorithm explainability, and the need for specific regulations, aspects that still limit the large-scale expansion of the technology. The results demonstrate that artificial intelligence should be understood as a complementary resource, capable of expanding healthcare professionals’ possibilities without replacing them, strengthening evidence-based practice and promoting greater equity in access to care. It is concluded that the responsible and regulated use of this innovation represents a promising path for the consolidation of a faster, more inclusive, and resilient health system.