Leveraging a Real -Time Machine Learning Platform to Personalize Quality Assurance at a Large Multi -Site Oncology Practice

While numerous studies in the field of radiation oncology have focused on the benefits of machine learning when applied to contouring and personalized radiation dose, few have focused on how machine learning can improve supportive care. In this abstract, we propose a framework to introduce machine learning into quality assurance, with the goal of improving patient outcomes.