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-11535415 · Data updated 2026-11-12
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.
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) | $6,178 |
| NIH project number | 3U01CA269143-04S3 |
| Project ID | NIH-11535415 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 LMIC-like settings or where AI-assisted planning could be implemented.
✕Less likely to help
Patients whose tumors are not suitable for AI-assisted planning or whose treatment plan cannot be automated may not experience added benefit.
What this research studies
This project tests an AI-based software that automatically marks risky anatomy and designs radiation beams for cervical and head-and-neck cancers. It is a non-randomized prospective study enrolling patients to see if the AI approach can improve treatment accuracy and cut planning time. The goal is to deliver higher-quality radiotherapy with less dependency on scarce workforce, especially in low- and middle-income countries. Results will include both clinical quality metrics and economic impact to inform broader adoption.
Why it matters
Potential benefit: If successful, patients could receive accurate, timely radiotherapy with fewer staff resources required.
How similar studies have gone: AI-based radiotherapy planning has shown promise in automated delineation and beam definition in prior studies, with ongoing evaluation in clinical settings.
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.
-
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.