A workflow utilizing general-purpose large language models for efficient structuring and data mining of bone scintigraphy narratives.

Abstract

Whole-body bone scintigraphy is pivotal for skeletal evaluation in oncological monitoring, yet the unstructured nature of clinical reports impedes efficient data management and multicenter integration. This study aims to validate whether a clinical-logic-guided prompting framework can effectively constrain general-purpose large language models (LLMs) to achieve reliable structured information extraction from bone scintigraphy narratives without domain-specific fine-tuning, and to evaluate the pe