Keeping AI tools in radiation therapy safe and reliable

Quality assurance for safe use of AI systems in radiotherapy

['FUNDING_R01'] · WASHINGTON UNIVERSITY · NIH-11306619

This project builds automatic checks to help ensure AI used in radiation treatment images and plans works safely for patients receiving radiation therapy.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorWASHINGTON UNIVERSITY (nih funded)
Locations1 site (SAINT LOUIS, UNITED STATES)
Trial IDNIH-11306619 on ClinicalTrials.gov

What this research studies

This project will create automated monitors that watch the images and AI outputs used in my radiation treatments and flag changes caused by scanner updates, protocol shifts, or equipment replacement. The team is designing these checks to work with commercial, closed-source AI systems so hospitals can verify safety without needing the AI source code. They will test the detectors using real clinical imaging and radiation oncology workflows to find situations where AI performance can degrade. The goal is to give my clinic practical tools and guidelines to continuously watch AI tools so they don't silently drift and affect my care.

Who could benefit from this research

Good fit: Patients receiving radiation therapy at centers that use AI for imaging, auto-segmentation, synthetic CT, or treatment planning would be the most relevant population for these QA tools.

Not a fit: People not undergoing radiation therapy or treated at clinics that do not use AI tools are unlikely to see direct benefit from this project.

Why it matters

Potential benefit: If successful, these QA tools could reduce AI-related errors in radiation therapy and make treatments safer and more reliable for patients.

How similar studies have performed: Prior work has shown that AI can fail when clinical data shifts, but robust, clinically practical QA methods for AI are relatively new and this approach is somewhat novel.

Where this research is happening

SAINT LOUIS, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.