AI-Powered Radiotherapy Planning for Cervical and Head & Neck Cancer
Official title: ARCHERY: Artificial Intelligence based Radiotherapy treatment planning for Cervical and Head and Neck cancer
Funded at University College London · NIH-11535416 · Data updated 2026-11-12
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.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University College London NIH-funded |
| Lab location | 1 site (London, United Kingdom) |
| Project start | September 1, 2022 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $8,452 |
| NIH project number | 3U01CA269143-04S4 |
| Project ID | NIH-11535416 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with cervical cancer or head-and-neck cancer who are candidates for radiotherapy at participating centers.
✕Less likely to help
Patients not undergoing radiotherapy or at centers not using AI-assisted planning may not experience direct benefits.
What this research studies
This project from University College London will test an AI system that automatically outlines important anatomy and shapes radiation beams to treat cervical and head-and-neck cancers. The study will follow patients to see how the AI-assisted plans compare in quality and cost, aiming to shorten planning time from weeks to under a day. If successful, the tool could make high-quality radiotherapy more available in low- and middle-income countries by easing staffing demands. It is designed as a non-randomized prospective evaluation to gather real-world data on performance and economic impact.
Why it matters
Potential benefit: If successful, patients could receive faster, accurate radiotherapy planning with less dependence on scarce specialists.
How similar studies have gone: Prior AI-based radiotherapy planning work suggests potential improvements, but this exact non-randomized prospective evaluation is emerging evidence.
Where this research is happening
-
University College London
London, United Kingdom Active
Researchers
- Principal investigator: Aggarwal, Ajay — University College London
- Study coordinator: Aggarwal, Ajay
Related research
Other NIH-funded projects on the same topics.
-
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.
-
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.
-
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.
-
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.
-
AI-powered radiotherapy planning for cervical and head-and-neck cancer
A UK-led study is testing an AI system that helps plan and optimize radiotherapy for cervical and head-and-neck cancer to reduce wait times and required staff.
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.