Ensuring the safety of AI systems used in radiation therapy
Official title: Quality assurance for safe use of AI systems in radiotherapy
Funded at Washington University · NIH-11056082 · Data updated 2026-11-12
This study is working on making sure that the artificial intelligence used in cancer treatment is safe and reliable, so patients can trust that their care is accurate and effective.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project start | April 1, 2024 |
| Project end | March 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $323,322 |
| NIH project number | 5R01CA289884-02 |
| Project ID | NIH-11056082 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients undergoing radiation therapy who may benefit from improved AI-assisted treatment planning.
✕Less likely to help
Patients who are not receiving radiation therapy or those whose treatment does not involve AI systems may not benefit from this research.
What this research studies
This research focuses on improving the quality assurance of artificial intelligence (AI) systems used in radiation oncology. It aims to develop new tools and practices to monitor the performance of these AI systems, ensuring they remain safe and effective for clinical use. The project will address challenges such as changes in imaging data and equipment that can affect AI performance, which is crucial for maintaining high-quality patient care. By creating detectors to monitor AI outputs and input data, the research seeks to prevent potential errors in treatment planning and execution.
Why it matters
Potential benefit: If successful, this research could enhance the safety and effectiveness of radiation therapy for patients by ensuring AI systems perform reliably.
How similar studies have gone: Other research has shown promise in improving AI systems in clinical settings, indicating that this approach could lead to significant advancements in patient safety.
Where this research is happening
-
Washington University
Saint Louis, United States Active
Researchers
- Principal investigator: Hugo, Geoffrey D — Washington University
- Study coordinator: Hugo, Geoffrey D
Related research
Other NIH-funded projects on the same topics.
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AI-powered radiotherapy planning for cervical and head-and-neck cancer
A computer program helps plan radiation therapy for cervical and head-and-neck cancer patients to make treatments faster and more accurate.
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AI-powered radiotherapy planning for cervical and head-and-neck cancer
A United Kingdom study is testing AI software that helps plan radiotherapy for cervical and head-and-neck cancer patients to save time and reduce the workload for clinicians in low-resource settings.
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AI-powered radiotherapy planning for cervical and head-and-neck cancer
A UK research team is testing an AI-based software to automatically outline cancer areas and plan radiation beams to speed up treatment for cervical and head-and-neck cancers in LMICs.
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AI-Powered Radiotherapy Planning for Cervical and Head & Neck Cancer
A new AI tool helps plan radiation therapy for cervical and head-and-neck cancers to save time and reduce the need for specialized staff.
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AI-powered radiotherapy planning for cervical and head-and-neck cancer
A UK study from University College London uses AI to plan radiotherapy for cervical and head-and-neck cancers to save time and reduce the need for specialized staff, aiming to help patients in LMICs.
-
AI-powered radiotherapy planning for cervical and head & neck cancer
A non-randomized study will test an AI system that helps plan radiotherapy for cervical and head & neck cancers to save time and resources in LMICs.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.