A framework for extraction of clinical information from radiological mammography reports using large language models and retrieval augmented generation
Extracting structured information from free-text radiology reports is essential for downstream clinical analysis and decision support. In mammography, this challenge is amplified by heterogeneous writing styles, the absence of standardized terminology across institutions, and limited availability of annotated Spanish d...