Apply to trial NCT07463833

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RecruitingDevice study

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

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.

How this works

  1. Answer a few questions

    About 5 to 10 minutes. Skip-friendly where possible.

  2. We forward your profile to the study team

    They see only the answers needed to decide if you can be screened.

  3. The team reaches out to schedule screening

    Usually within a few business days, via the contact you give.

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