Using AI in NHS Diagnosis: Apply For Funding
Up to £240,000 is available for organisations exploring the use of AI and machine learning in fracture diagnosis
Up to £240,000 is available through an Innovate UK Small Business Research Initiative (SBRI) competition, with funding from Opportunity North East and NHS Scotland, to investigate the use of artificial intelligence (AI) and machine learning in the NHS.
The competition will explore how AI and machine learning can be used to support limb radiographs in the diagnosis of fractures. Possible improvements include diagnosis accuracy and treatment and increased productivity in radiology departments.
Projects must use a dataset of peripheral limb X-rays and reports from the University of Aberdeen to develop AI algorithms that:
- interpret the current text-based report to correctly categorise fractures
- use radiograph images to identify the presence of fractures
- ensure the AI product can function at real-world accuracy
The competition will comprise two phases:
- In phase 1, applicants will conduct technical feasibility studies on their proposed solution. Up to £100,000 is available in phase 1, and as many as five projects are expected to be funded.
- Phase 2 will include prototype development and evaluation. Up to £140,000 is available at this stage.
Successful applicants will be able to receive input from NHS Grampian, NHS Greater Glasgow and Clyde, the University of Aberdeen and Canon Medical Research Europe.
Competition information
The competition opens on 20 May 2019 and the deadline for registration is at midday on 24 July 2019. Organisations of any size may apply.
A briefing event will take place in Aberdeen on 27 June 2019. You must register to attend by 21 June 2019.
Find out more about this competition and apply.
