Condition: Cancer · Prostate Cancer · Sponsor: UNC Lineberger Comprehensive Cancer Center
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). By drawing attention to these patterns and cues, the tool aims to help reviewers spot possible treatment-planning mistakes earlier, reduce the chance of errors, and improve overall patient safety.
This description comes directly from the study's public registry record.
Olivia Morton · (984) 974-8441 · olivia_roberts@med.unc.edu
Victoria Xu · (984) 974-8444 · victoria_xu@med.unc.edu
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| University of North Carolina at Chapel Hill, Department of Radiation Oncology | Chapel Hill, North Carolina, United States | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07463833