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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Published in | AMIA ... Annual Symposium proceedings Vol. 2024; p. 115 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
2024
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Subjects | |
Online Access | Get full text |
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