AI-assisted radiotherapy planning for cervical and head and neck cancer
ARCHERY: Artificial Intelligence based Radiotherapy treatment planning for Cervical and Head and Neck cancer
This project uses artificial intelligence to create radiotherapy treatment plans faster and with fewer specialists for people with cervical or head and neck cancers, 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 ID | NIH-11399435 on NIH RePORTER |
What this research studies
You would have CT images processed by AI that draws the tumor and nearby organs and proposes the size, shape, and position of radiation beams. Clinicians will review and adjust the AI-generated contours and plans before treatment. The project will enroll about 706 patients with cervical or head and neck cancer and follow how well the AI plans match clinical standards, how long planning takes, and the costs. The goal is to reduce planning time from weeks to less than a day and lower the specialist workforce needed to deliver radiotherapy.
Who could benefit from this research
Good fit: People diagnosed with cervical cancer or head and neck cancer who are candidates for radiotherapy at participating hospitals would be the ideal participants.
Not a fit: People without cervical or head and neck cancer, those not receiving radiotherapy, or patients whose care requires highly individualized or experimental planning approaches may not benefit.
Why it matters
Potential benefit: If successful, this could let more patients start radiotherapy sooner and expand access to curative treatment where specialist planners are scarce.
How similar studies have performed: Early studies and pilot tools show AI can automate contouring and planning steps, but large prospective patient-level evidence is still limited.
Where this research is happening
London, United Kingdom
- University College London — London, United Kingdom (Active)
Researchers
- Principal investigator: Aggarwal, Ajay — University College London
- Study coordinator: Aggarwal, Ajay
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 below.