Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology
NCT07463833
This study is recruiting at 1 US site in 1 state, according to its ClinicalTrials.gov record last updated .
Summary
This prospective study will test artificial intelligence (AI) and machine learning (ML) decision support tools. This tool is designed to help doctors, physicists and other staff during pre-treatment peer review, a step where treatment plans are checked before a patient begins care. The system highlights summaries showing how different providers may vary in their treatment planning (provider-variability summaries) and points out the best signals or warning signs to look for (optimal cues).
Shortened from the sponsor's brief summary. View official record on ClinicalTrials.gov
Conditions studied
- Cancer
- Prostate Cancer
Eligibility basics and study details
- Study type
- Interventional
- Phase
- Not applicable
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Sponsor
- UNC Lineberger Comprehensive Cancer Center
- Last updated on ClinicalTrials.gov
- June 23, 2026
These are the basic criteria only. The full inclusion and exclusion criteria are on the official record, and the study team decides who can take part.
US recruiting sites
North Carolina · 1
- University of North Carolina at Chapel Hill, Department of Radiation Oncology · Chapel Hill, NC
Source: ClinicalTrials.gov, data processed . Recruiting US sites filtered by distance and site status; summaries shortened.