Join colleagues from across the U.S. and Canada for a forward-looking roundtable exploring how automation and artificial intelligence are reshaping the future of cancer surveillance. This interactive discussion will examine emerging innovations—including deep learning, natural language processing (NLP), and the U.S. Core Data for Interoperability Plus (USCDI+)—and their implications for central cancer registries and abstractors.

Experts will discuss practical applications already underway, and strategies to prepare registry systems, policies, and workforce for the next generation of data capture and analytics. They will also have an opportunity to share perspectives on how AI-driven tools can enhance data quality, streamline abstraction, and improve timeliness—while maintaining the integrity and human insight that define population-based cancer surveillance.