The American journal of emergency medicine
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The number of emergency department (ED) visits has been on steady increase globally. Artificial Intelligence (AI) technologies, including Large Language Model (LLMs)-based generative AI models, have shown promise in improving triage accuracy. This study evaluates the performance of ChatGPT and Copilot in triage at a high-volume urban hospital, hypothesizing that these tools can match trained physicians' accuracy and reduce human bias amidst ED crowding challenges. ⋯ ChatGPT and Copilot outperform traditional nurse triage in identifying high-acuity patients, but real-time ED capacity data is crucial to prevent overcrowding and ensure high-quality of emergency care.