Empowering PET imaging reporting with retrieval-augmented large language models and reading reports database: a pilot single center study.
Journal:
European journal of nuclear medicine and molecular imaging
Published Date:
Jan 23, 2025
Abstract
PURPOSE: The potential of Large Language Models (LLMs) in enhancing a variety of natural language tasks in clinical fields includes medical imaging reporting. This pilot study examines the efficacy of a retrieval-augmented generation (RAG) LLM system considering zero-shot learning capability of LLMs, integrated with a comprehensive database of PET reading reports, in improving reference to prior reports and decision making.