Brain Tumour Imaging AI Tool
Benefits
The AI tool can analyse brain tumour scans in just three seconds (compared to five minutes needed by experienced neuroradiologists), provides greater patient-personalised detail to aid treatment, more accurately predicts individual patient's treatment outcomes than with a doctor alone, and could save more than £1.5million in NHS costs within three years if deployed nationally.
Details
- Tool name
- Brain Tumour Imaging AI Tool
- Organisation
- University College London
- Status
- pilot
- AI method (as recorded)
- Computer Vision, Machine Learning
- AI method (normalised tags)
- Computer Vision Machine Learning
- Usecase
- Health AI
- Origin
- ucl.ac.uk
- Owning team
- UCL Queen Square Institute of Neurology and UCLH
- Date added
- Scrape date
- 29/04/2026
- Source note
- Research published in NeuroImage: Clinical. The AI tool was tested on a large group of 1,172 patients and shown to be accurate across patients of all ages and sexes. The research was funded by the Medical Research Council, the Wellcome Trust, the NIHR UCLH Biomedical Research Centre, with the translational network being funded by The National Brain Appeal. [Source]