Ensuring the safety of AI systems used in radiation therapy
Quality assurance for safe use of AI systems in radiotherapy
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 ID | NIH-11056082 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients undergoing radiation therapy who may benefit from improved AI-assisted treatment planning.
Not a fit: Patients who are not receiving radiation therapy or those whose treatment does not involve AI systems may not benefit from this research.
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 performed: 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
Saint Louis, United States
- Washington University — Saint Louis, United States (Active)
Researchers
- Principal investigator: Hugo, Geoffrey D — Washington University
- Study coordinator: Hugo, Geoffrey D
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 below.