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Artificial intelligence (AI) is rapidly changing the practice of medicine generally, and emergency medicine (EM) more specifically.Within healthcare, there is a rising demand for timely evidence discovery, evidence synthesis, and knowledge translation known as an evidence cycle [1, 2].Our objective is to provide more efficient access to high-quality evidence-based medicine (EBM) recommendations in EM.The scope of this paper is the interaction between AI and evidence retrieval, appraisal, synthesis, translation and application rather than original (non-systematic review with and without meta-analysis) EBM generation.
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Lee et al. (2026) studied this question.
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