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-11535413 · Data updated 2026-11-12
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.
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) | $70,126 |
| NIH project number | 3U01CA269143-04S1 |
| Project ID | NIH-11535413 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 and treated in LMICs or similar resource settings.
✕Less likely to help
Patients whose tumors are not amenable to AI-generated planning or who are not receiving radiotherapy.
What this research studies
This project uses artificial intelligence to automatically outline critical anatomy and design radiation beams for two common cancer types. It aims to shorten planning time from weeks to under a day and lessen the need for highly specialized staff in low- and middle-income countries. The study will follow patients treated with AI-generated plans to see if the results meet quality standards and to understand the economic impact. It is a non-randomized prospective study conducted at a major international center to evaluate real-world use of AI in radiotherapy planning.
Why it matters
Potential benefit: If successful, patients could receive faster, accurate radiotherapy with less dependence on scarce specialized staff.
How similar studies have gone: Previous AI planning tools have shown promise in improving planning efficiency and consistency in some settings, though prospective LMIC-focused data are 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.
-
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.
-
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.
-
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.