Article

Large Language Model Augmented Clinical Trial Screening

2024-08-28

Abstract excerpt

<h4>Purpose</h4> Identifying potential participants for clinical trials using traditional manual screening methods is time-consuming and expensive. Structured data in electronic health records (EHR) are often insufficient to capture trial inclusion and exclusion criteria adequately. Large language models (LLMs) offer the potential for improved participant screening by searching text notes in the EHR, but optimal d...

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Literature Corpus work: 2ea432d2-87b8-5743-bc67-7ff0fe66492e
DOI: 10.1101/2024.08.27.24312646

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