AI-powered 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-11399430 · Data updated 2026-11-12
This project uses AI software to create radiation treatment plans more quickly and accurately 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) | $40,177 |
| NIH project number | 3U01CA269143-03S3 |
| Project ID | NIH-11399430 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are people diagnosed with cervical or head and neck cancer who are scheduled for CT-based radiotherapy planning at one of the participating treatment centers.
✕Less likely to help
People with cancers other than cervical or head and neck, those not receiving radiotherapy, or those treated at non-participating centers are unlikely to be helped by this project.
What this research studies
If I join, researchers will use AI software to draw the tumor and nearby organs on my CT scans and to design the radiation beams needed to treat me. They plan a non-randomized, prospective study enrolling about 706 patients split between cervical and head and neck cancer to see if AI plans meet clinical standards and reduce planning time. The team will compare AI-generated plans to usual human-made plans for quality, safety, workflow time, and cost. The goal is to shorten planning from weeks to under a day so more patients in low- and middle-income countries can get timely curative radiotherapy.
Why it matters
Potential benefit: If successful, this could allow faster, accurate radiotherapy plans so more patients—especially in low- and middle-income countries—get timely curative treatment.
How similar studies have gone: Previous studies of AI auto-contouring and treatment-planning tools have often sped up workflows and produced plans comparable to human planners in high-resource settings, but large prospective trials in low- and middle-income countries remain limited.
Where this research is happening
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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.