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-11535417 · Data updated 2026-11-12
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.
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) | $3,927 |
| NIH project number | 3U01CA269143-04S5 |
| Project ID | NIH-11535417 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with cervical cancer or head-and-neck cancer who are candidates for radiotherapy at participating centers.
✕Less likely to help
Patients whose tumors or anatomy are not suitable for AI-generated planning or who require personalized manual planning.
What this research studies
This project from University College London will test an AI system that automates key steps in radiotherapy planning, aiming to shorten planning time and reduce the need for highly specialized staff. It is a non-randomized prospective study enrolling patients with cervical cancer or head-and-neck cancer to see how well the AI-generated plans compare to standard methods and whether they reduce costs. Researchers will measure plan quality, treatment accuracy, and economic impact across up to 706 participants. If successful, the system could help LMICs provide timely radiotherapy to more patients with fewer clinicians.
Why it matters
Potential benefit: If successful, patients could receive accurate radiotherapy plans faster, potentially improving outcomes and expanding access in resource-limited settings.
How similar studies have gone: Previous AI planning efforts show promise in speeding planning and maintaining quality, but this exact LMIC-focused approach is being evaluated.
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 & 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.
-
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.