AI-assisted 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-11399435 · Data updated 2026-11-12
This project uses artificial intelligence to create radiotherapy treatment plans faster and with fewer specialists for people with cervical or head and neck cancers, 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) | $42,519 |
| NIH project number | 3U01CA269143-03S8 |
| Project ID | NIH-11399435 on NIH RePORTER |
Who could benefit from this research
✓Could help
People diagnosed with cervical cancer or head and neck cancer who are candidates for radiotherapy at participating hospitals would be the ideal participants.
✕Less likely to help
People without cervical or head and neck cancer, those not receiving radiotherapy, or patients whose care requires highly individualized or experimental planning approaches may not benefit.
What this research studies
You would have CT images processed by AI that draws the tumor and nearby organs and proposes the size, shape, and position of radiation beams. Clinicians will review and adjust the AI-generated contours and plans before treatment. The project will enroll about 706 patients with cervical or head and neck cancer and follow how well the AI plans match clinical standards, how long planning takes, and the costs. The goal is to reduce planning time from weeks to less than a day and lower the specialist workforce needed to deliver radiotherapy.
Why it matters
Potential benefit: If successful, this could let more patients start radiotherapy sooner and expand access to curative treatment where specialist planners are scarce.
How similar studies have gone: Early studies and pilot tools show AI can automate contouring and planning steps, but large prospective patient-level evidence is still 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.