Can we trust AI-generated RWD? A systematic validation approach in prostate cancer

The growing use of large language models (LLMs) to extract clinical detail from electronic health records (EHRs) has created new opportunities to generate real-world data (RWD) at scale. For oncology researchers and life sciences decision makers, this unlocks valuable information contained within unstructured data sources, including clinical notes, pathology reports, and other sources that are often difficult to access through traditional abstraction methods. However, as AI-enabled methods are increasingly integrated into evidence generation, questions arise around quality, reliability, and fi