AI-guided radiotherapy planning for cervical and head and neck cancer
Official title: ARCHERY: Artificial Intelligence based Radiotherapy treatment planning for Cervical and Head and Neck cancer
Funded at University College London · NIH-11399433 · Data updated 2026-11-12
This project uses artificial intelligence to speed up and standardize radiation treatment planning for people with cervical or head and neck cancer, especially in low- and middle-income countries.
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 | 2025 |
| Award (this year) | $16,051 |
| NIH project number | 3U01CA269143-03S6 |
| Project ID | NIH-11399433 on NIH RePORTER |
Who could benefit from this research
✓Could help
People diagnosed with cervical or head and neck cancer who are scheduled to receive radiotherapy at a participating treatment center are the intended candidates.
✕Less likely to help
People who do not need radiotherapy, whose treatment centers cannot provide CT-based planning, or whose anatomy requires highly individualized manual planning may not benefit from this approach.
What this research studies
If you join, your CT scans will be processed by AI that outlines the tumor and nearby organs and suggests the radiation beam positions and shapes. Clinicians at participating hospitals will review and approve the AI-generated plans before treatment. The project will follow a total of 706 patients (353 with cervical cancer and 353 with head and neck cancer) to compare plan quality and the costs and time needed to make plans. The goal is to cut planning time from weeks to less than a day and reduce the workforce needed to deliver radiotherapy in resource-limited settings.
Why it matters
Potential benefit: If successful, this could make radiotherapy faster and more consistent, increasing timely access to curative treatment in places with limited specialist staff.
How similar studies have gone: Prior AI tools for contouring and planning have shown promising accuracy and time savings, but large prospective evaluations in low- and middle-income settings remain limited.
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.
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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.