AI is transforming how real-world oncology data is curated, especially when it comes to data extracted by large language models (LLMs) and other machine learn (ML) models. How can you be confident in the quality of the data you rely on to answer high impact research questions? This webinar, in partnership with Endpoints News, brings together industry experts for a panel discussion on how to assess AI-curated real-world evidence (RWE) and the associated implications for oncology research.
While many discussions focus on the 'what' of AI in real-world evidence, we dive into the 'how' – specifically, how to build trust in and validate the data. We kick off with highlights from our new data quality framework and dive into what matters most when it comes to ML/LLM-extracted real-world data (RWD). Watch the webinar to hear from Flatiron experts and oncology thought leaders on the future of AI in RWE and what quality really means in this evolving landscape.
