This is a retrospective study whose goal is to record and analyze outcomes following treatment of head and neck cancers at the University of North Carolina, Chapel Hill. Studying patient characteristics, treatments and outcomes may yield information that could further improve therapy for future patients.

The purpose of this study is to create a registry that will collect clinical data from participants attending UNC Hospitals who may present with metastatic cancer and are evaluated to receive radiation therapy. We hope to create a registry that future studies can pull from to study the impacts of radiation therapy on patient cancer outcomes.

To develop an artificial intelligence (AI) and machine learning (ML) process focused on physicians' variability during the pre-treatment peer review processes and assess the impact of the process in the RT work system on patient safety.