qXR
Benefits
The software works by identifying unusual signs from a routine chest X-ray within minutes, so that patients who may have signs of lung cancer can be offered a CT-scan on the same day. The AI system produces a secondary image for each chest X-ray to highlight certain abnormalities. If the AI detects a problem, the patient's X-ray will be flagged up so that an urgent scan can be provided. The research aims to evaluate whether this AI technology can successfully reduce diagnosis times.
Details
- Tool name
- qXR
- Organisation
- Qure.ai
- Status
- pilot
- AI method (as recorded)
- Computer Vision
- AI method (normalised tags)
- Computer Vision
- Usecase
- Health AI
- Origin
- nuh.nhs.uk
- Owning team
- Professor David Baldwin, Chair of NHS England's Clinical Expert Group for Lung Cancer and respiratory consultant at NUH
- Date added
- Scrape date
- 15/05/2026
- Source note
- This study was commissioned and funded by the NHS Cancer Programme, with the support of SBRI Healthcare and the NHS Accelerated Access Collaborative. For the study, the qXR software will analyze chest X-rays of adult patients referred to NUH by their GPs. Patients' chest X-rays will be randomly assigned to the research, so that the research team can compare the normal diagnosis with the x-rays that use AI. [Source]
- Source URL
- https://www.nuh.nhs.uk/lung-impact/