Learning tool for radiation oncology residents

This trial tests a new way for radiation oncologists and radiologists to share and review radiation therapy plans. If you have lung or head & neck cancer and are planning curative radiation treatment, you may be able to join.

This study tests how well new computer methods (called algorithms and machine learning) can support radiation therapy decisions. You might benefit by helping improve how radiation is planned and checked, especially for cancers treated with curative-intent therapy.

This trial tests whether an artificial intelligence (AI) tool can help doctors plan radiation therapy more precisely for breast cancer. It aims to make treatment safer and more effective by using AI to outline the area to be treated.

This trial tests two ways to plan radiation treatment for prostate cancer: one using a computer program (RapidPlan) and the other using human experts. The goal is to see if the computer-assisted method works as well or better.

This study tests a digital tool that uses pictures and simple visuals to help you understand your cancer treatment options. The goal is to make the experience better for you, your family, and your doctors.

This study follows what happens when radiation treatment is guided using an MR-Linac (a special machine that combines MRI imaging with radiation). It may help improve how radiation therapy is planned and assessed, especially for people who can safely have MRI scans.