This study is testing a new Artificial Intelligence (AI) tool designed to improve patient safety during radiation therapy for prostate cancer. The tool helps doctors and other staff review treatment plans before you start therapy. It works by highlighting summaries of how different providers plan treatments and pointing out important signals or warning signs. The goal is to help reviewers catch potential mistakes earlier, reduce errors, and make radiation therapy safer. This study will enroll 207 participants, including both healthcare providers and patients with prostate cancer receiving radiation therapy. The main way they will measure success is by looking at the percentage of patients whose lymph node (nodal) volume contours (outlines of the lymph nodes) change during the review process.

Study design

This interventional study plans to enroll 207 participants, including healthcare providers and prostate cancer patients. It is designed to test the impact of an AI tool on the peer review process for radiation therapy planning.

What's involved

Not specified in the trial record.

Compensation

Not stated in the trial record.

Follow-up

The primary endpoint, changes in nodal volume contours, is measured at Baseline, but the duration of follow-up is not specified.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.