National Academy of Sciences Building

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.

Sessions will consider such topics as:

• Broader AI Community Discussions,

• Future Directions and Opportunities for AI/ML applications in the radiation health sciences,

• Data for AI Readiness,

• AI in the Clinic – Applicaitons in Radiation Oncology and Medical Diagnostics

• AI applications in Occupational and Public Health

• AI applications in Predictive Modeling,

• Education and Workforce Development,

• AI Regulations and Ethics

Look for more details in future announcements!

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.