ABSTRACT Artificial intelligence (AI) is increasingly recognized for its transformative potential in healthcare, particularly in emergency medicine. The fast-paced, highstakes nature of emergency departments (EDs) demands rapid decision-making, often under significant time and resource constraints. AI-driven solutions have already demonstrated their ability to enhance diagnostic accuracy, improve triage processes, and optimize resource allocation in emergency settings. However, AI’s potential extends beyond clinical practice into the realm of medical education, where large language models (LLMs) may offer novel opportunities for training future emergency medicine professionals. Recent advancements in AI have enabled the development of sophisticated diagnostic tools that can assist clinicians in managing critical patients more effectively.