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Gilbert W. Beebe Symposium on AI and ML Applications in Radiation Therapy, Medical Diagnostics, and Radiation Occupational Health and Safety The Gilbert W. Beebe Symposium is hosting a two-day workshop on Artificial Intelligence (AI) and Machine Learning (ML) applications in radiation therapy/oncology, diagnostics, and occupational health and safety. The symposium will include a community discussion on algorithm development and pathways to success, a focus on future directions and opportunities in AI/ML methods and technology to advance the fields of the radiation health sciences, and discussions on the intentionality of data collection for algorithm development and training, as well as focused breakout sessions on current and emerging applications of AI and ML in the radiation health science fields. The symposium presentations and discussions will be summarized in a National Academies proceedings. The symposium is part of the Academies’ Beebe Symposium Series, established in 2002 to honor the scientific achievements of the late Dr. Gilbert Beebe.