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-11535414 · Data updated 2026-11-12
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.
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) | $18,091 |
| NIH project number | 3U01CA269143-04S2 |
| Project ID | NIH-11535414 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with cervical cancer or head and neck cancer who are treated with radiotherapy.
✕Less likely to help
Patients not receiving radiotherapy or those with cancers outside cervical or head and neck sites may not benefit.
What this research studies
This project from University College London tests an AI-based software that automates two key steps in radiotherapy planning: outlining regions at risk and shaping radiation beams. It aims to shorten planning time from weeks to under a day and reduce the need for highly specialized staff in low- and middle-income countries. The study will enroll about 706 patients with cervical or head & neck cancer to evaluate plan quality and the economic impact of the AI workflow. Participation would involve standard radiotherapy planning processes and data collection within clinical care. Results could guide scalable, more accessible radiotherapy in settings with workforce shortages.
Why it matters
Potential benefit: If successful, the AI tool could make radiotherapy faster and more affordable for many patients.
How similar studies have gone: Previous AI-based radiotherapy planning work suggests potential improvements in accuracy and efficiency, but large LMIC-focused prospective data are needed.
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.
-
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-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.