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Analysis using LLMs improves antibiotic susceptibility extraction in microbiology, indicating enhanced public health reporting.
There is a clinical need to appropriately apply large language model (LLM)-based systems for use in infectious diseases. We sought to use LLM and machine learning for extracting antibiotic susceptibility from clinical microbiology free-text reports, allowing use for outbreak detection, increasing information gathering efficiency, and public health reporting.
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Chou et al. (2025) studied this question.
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