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Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology

UNC Lineberger Comprehensive Cancer Center · with Agency for Healthcare Research and Quality (AHRQ) · NCT07463833

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Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.

Key facts

Compensation
Not posted. Ask the study team before screening.
Who can join
Ages 18+ · All sexes
Healthy volunteers
Accepted
Study type
Interventional · Not applicable
Target enrollment
207
US sites recruiting
1
Study start
June 22, 2026
Record last updated
June 23, 2026

Status re-checked against ClinicalTrials.gov within the last 12 hours.

What the study is about

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.

Being studied: The Artificial Intelligence (AI)/ Machine Learning (ML) contribution to treatment planning

Conditions: Cancer; Prostate Cancer

Eligibility criteria

Copied from the official record. The study team makes the final decision at screening.

Show full criteria

In order to participate in this study a subject must meet all of the eligibility criteria outlined below.

Inclusion Criteria

Providers only

  • ≥18 years
  • Peer-review attendees at participating clinics

Patients only

  • ≥18 years
  • All patients with prostate cancer radiation therapy cases treated at participating sites (no intervention delivered to patients)

Exclusion Criteria

Providers only

  • Providers unwilling/unable to comply with study procedures; sites unable to implement the workflow or provide required outcomes.

Patients and Providers

  • Has dementia, altered mental status, or any psychiatric or co-morbid condition prohibiting the understanding or rendering of informed consent

Recruiting US locations

  • University of North Carolina at Chapel Hill, Department of Radiation Oncology

    Chapel Hill, NC 27599

    Site contact: Olivia Morton · 984-974-8441 · olivia_roberts@med.unc.edu

Study contacts (from the official record)

  • Olivia Morton · (984) 974-8441 · olivia_roberts@med.unc.edu
  • Victoria Xu · (984) 974-8444 · victoria_xu@med.unc.edu
All healthy volunteers studies in North Carolina →
Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review… (NCT07463833) | Bored Studies