Radiology researchers test large language model that preserves patient privacy

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Radiology researchers test large language model that preserves patient privacy
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Locally run large language models (LLMs) may be a feasible option for extracting data from text-based radiology reports while preserving patient privacy, according to a new study from the National Institutes of Health Clinical Center (NIH CC) published in Radiology. LLMs are deep-learning models trained to understand and generate text in a human-like way.

retrieved 10 October 2023 from https://medicalxpress.com/news/2023-10-radiology-large-language-patient-privacy.html

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