Clinical Information Extraction with Large Language Models: A Case Study on Organ Procurement

Recent work has demonstrated that large language models (LLMs) are powerful tools for clinical information extraction from unstructured text. However, existing approaches have largely ignored the extraction of numeric information such as laboratory tests and vital signs. In this article, we present...

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Bibliographic Details
Published inAMIA ... Annual Symposium proceedings Vol. 2024; p. 115
Main Authors Adam, Hammaad, Lin, Junjing, Lin, Jianchang, Keenan, Hillary, Wilson, Ashia, Ghassemi, Marzyeh
Format Journal Article
LanguageEnglish
Published United States 2024
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