Autonomous Structuring of Radiology Reports Across Modalities at Archive Scale Using an Open-Weight Large Language Model

Researchers have developed an open-weight large language model pipeline capable of automatically converting entire archives of free-text radiology reports into structured data without human oversight. This approach aims to streamline clinical data management by standardizing diagnostic documentation across various medical imaging modalities.