Volgende generatie multicenter studies: AI voor automatische verwerking van ongestructureerde radiologierapporten

Manual abstraction of real-world data (RWD) from unstructured health records (HRs) remains resource intensive, error prone, and highly variable across institutions. Large language models (LLMs) offer a scalable alternative, but their performance in multicenter oncology settings is not fully validated.