Bridging the Divide: A Cross-Sectional Study on the Role of Large Language Models in Emergency Medicine Publications

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Large language models (LLMs) enhance efficiency in academic writing but pose risks like inaccuracies and biases that threaten scholarly integrity.
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International bodies have issued recommendations on LLM use, but their implementation varies significantly across medical journals.
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Emergency medicine journals have not been comprehensively studied for LLM guidance, despite the field's reliance on rapid evidence dissemination.
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This study aims to assess the prevalence and characteristics of LLM use guidance in emergency medicine journals and evaluate disparities.
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Data were collected from 56 emergency medicine journals to analyze LLM guidance presence and its relationship with journal quality metrics.

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