Develops AI tracking of body motion during radiation therapy for cancer
Studies AI that tracks organ movement during radiation in adults with several cancers.
Plain-language title generated from the registry record
Registry title: LEARN: Learning Environment for Artificial Intelligence in Radiotherapy New Technology
Key facts
- Where
- Melbourne, Saint Leonards, and Woolloongabba, AustraliaSee the 4 sites
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults who will have radiation therapy for certain cancers or for a heart rhythm problem at a taking-part centre. Their routine scans will be used to train a motion-tracking method.
- Age
- 18 years or older
- Sex
- All sexes can join
- Disease stage
- Radiation therapy for brain, breast, head and neck, kidney, liver, pancreas, prostate or spine cancer, or for cardiac arrhythmia (heart rhythm problem).
Main reasons for not taking part
- Under 18 years of age
Read by machine on 12 November 2026.
Where in Australia
- Alfred HealthMelbourne, AustraliaContact: Principal InvestigatorNot yet recruiting
- Peter MacCallum Cancer CentreMelbourne, AustraliaContact: Principal InvestigatorNot yet recruiting
- Royal North Shore HospitalSaint Leonards, AustraliaContact: Principal InvestigatorTaking people
- Princess Alexandra HospitalWoolloongabba, AustraliaContact: Principal InvestigatorNot yet recruiting
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- University of Sydney
- Trial code
- NCT05184790
- Record updated
- 19 May 2026
- Original description
This study will develop a whole-of-body markerless tracking method for measuring the motion of the tumour and surrounding organs during radiation therapy to enable real-time image guidance.Read full original descriptionShow less
LEARN: Learning Environment for Artificial Intelligence in Radiotherapy New Technology
This study will develop a whole-of-body markerless tracking method for measuring the motion of the tumour and surrounding organs during radiation therapy to enable real-time image guidance.
Routinely acquired patient data will be used to improve the training, testing and accuracy of a whole-of-body markerless tracking method. When the markerless tracking method is sufficiently advanced, according to the PI of each of the data collection sites, the markerless tracking method will be run in parallel to, but not intervening with, patient treatments during data acquisition.
Inclusion: Will receive radiation therapy for brain, breast, head and neck, kidney, liver, pancreas, prostate, spine cancer treatment or cardiac arrhythmia treatment at a participating centre; Will receive CT planning, and a cone beam CT scan for at least one fraction of radiation therapy; Will receive intrafraction x-ray imaging for the liver, pancreas, prostate, spine cancer treatment or cardiac arrhythmia treatment. As intrafraction imaging is not common standard of care for brain, breast, head and neck and kidney cancer treatments there is no requirement to have intrafraction x-ray imaging data for these anatomical sites; Provides written informed consent.
Exclusion: Less than 18 years of age.