LEARN: Learning Environment for Artificial Intelligence in Radiotherapy New Technology
NCT05184790 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 300
Last updated 2026-05-19
Summary
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.
Conditions
- Arrhythmias, Cardiac
- Breast Cancer
- Prostatic Cancer
- Brain Cancer
- Kidney Cancer
- Head and Neck Cancer
- Liver Cancer
- Pancreatic Cancer
- Spinal Neoplasm
Sponsors & Collaborators
-
Princess Alexandra Hospital, Brisbane, Australia
collaborator OTHER -
Calvary Mater Newcastle, Australia
collaborator OTHER -
Western Sydney Local Health District
collaborator OTHER -
Austin Health
collaborator OTHER_GOV -
Peter MacCallum Cancer Centre, Australia
collaborator OTHER -
University of Sydney
lead OTHER
Principal Investigators
-
Paul Keall · Professor
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-02-28
- Primary Completion
- 2028-01-31
- Completion
- 2028-01-31
Countries
- Australia
Study Locations
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