Abstract
Large language models (LLMs) have demonstrated mixed results in their ability to pass various specialist medical examination and their performance within the field of emergency medicine remains unknown. We explored the performance of three prevalent LLMs (OpenAI's GPT series, Google's Bard, and Microsoft's Bing Chat) on a practice ACEM primary examination. All LLMs achieved a passing score, with scores with GPT 4.0 outperforming the average candidate. Large language models, by passing the ACEM primary examination, show potential as tools for medical education and practice. However, limitations exist and are discussed.
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