Large language model-based approach for low-cost, rapid and accurate automated extraction of predictive biomarker testing results from Dutch pathology reports.

Abstract excerpt

National cancer registries and pathology report databases contain valuable real-world information that may be used for assessment of healthcare quality or retrospective observational studies. As many of these data are currently non- or semi-structured, manual information extraction is needed, which is labor-intensive, costly and causes significant time delay to data analysis. This study aimed to develop a large...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Biomarkers, Tumor
• Share to Carcinoma, Non-Small-Cell Lung