This chapter critically appraises the evidence for artificial intelligence, machine learning, and clinical decision support tools as applied to emergency medicine, including AI-assisted triage, sepsis and deterioration prediction algorithms, diagnostic imaging interpretation, and natural language processing for electronic health record analysis. It addresses questions of algorithmic bias, clinical validation methodology, regulatory oversight, and the ethical dimensions of AI deployment in high-stakes emergency environments, providing a balanced and forward-looking assessment of the promise and limitations of these technologies.

Medical Science
Artificial Intelligence and Digital Health Technologies in Emergency Care
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