Disambiguation of acronyms in clinical narratives with large language models.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Sep 1, 2024

Abstract

OBJECTIVE: To assess the performance of large language models (LLMs) for zero-shot disambiguation of acronyms in clinical narratives.

Authors

  • Amila Kugic
    Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
  • Stefan Schulz
    Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.
  • Markus Kreuzthaler
    Institute of Medical Informatics, Statistics, and Documentation, Medical University of Graz, Austria.

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