NIH-funded research U01 cooperative agreement

AI-assisted radiotherapy planning for cervical and head and neck cancers

Official title: ARCHERY: Artificial Intelligence based Radiotherapy treatment planning for Cervical and Head and Neck cancer

Funded at University College London · NIH-11399434 · Data updated 2026-11-12

This project uses artificial intelligence to create radiotherapy treatment plans faster and with less specialist time for people with cervical and head and neck cancers, especially in low- and middle-income countries.

More Head and Neck Cancer research and trials

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionUniversity College London
NIH-funded
Lab location1 site (London, United Kingdom)
Project startSeptember 1, 2022
Project endAugust 31, 2027
Funding year2025
Award (this year)$48,750
NIH project number3U01CA269143-03S7
Project IDNIH-11399434 on NIH RePORTER

Who could benefit from this research

Could help

People with cervical cancer or head and neck cancer who need radiotherapy and are treated at one of the participating clinical sites (including centers serving low- and middle-income countries) are ideal candidates.

Less likely to help

Patients whose care is not at a participating center or whose treatment requires highly individualized experimental planning may not see direct benefit from this project.

What this research studies

The project uses AI software to automate two key radiotherapy planning steps: outlining the tumor and nearby organs, and defining beam positions and shapes. Patients treated at participating hospitals will receive AI-generated plans that are reviewed and approved by clinical teams. The team will run a forward-looking (non-randomised prospective) study enrolling 706 patients to compare plan quality, time to deliver a plan, and the cost of planning. The study focuses on settings where radiotherapy access is limited and aims to cut planning time from weeks to less than a day while keeping treatments accurate.

Why it matters

Potential benefit: If successful, this could speed up planning, reduce the need for scarce specialist staff, and expand access to curative radiotherapy in places with limited resources.

How similar studies have gone: Previous pilot studies of AI auto-contouring and automated planning have shown promise for saving time and producing acceptable plans, but large prospective data—especially from LMIC settings—is 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.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.