On March 13-14, 2025, the Nuclear and Radiation Studies Board of the National Academies of Sciences, Engineering, and Medicine hosted the most recent Gilbert W. Beebe symposium, with the goal of discussing the applications of artificial intelligence (AI) and machine learning (ML) in the fields of radiation therapy, medical diagnostics, and occupational health and safety. Among other topics, symposium participants discussed the importance of data for AI readiness, multimodal modeling, digital twins, uncertainty quantification and trustworthiness, and bias and ethics as it applies to each of these fields.
