Disambiguation of acronyms in clinical narratives with large language models.
Kugic Amila, Schulz Stefan, Kreuzthaler Markus·Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To assess the performance of large language models (LLMs) for zero-shot disambiguation of acronyms in clinical narratives. MATERIALS AND METHODS: Clinical narratives in English, German, and Portuguese were applied for testing the performance of four LLMs: GPT-3.5, GPT-4, Llama-2-7b-chat, and Llama-2-70b-cha…