Organisations announce share of £240k in AI Fracture Diagnosis Programme

Organisations announce share of £240k in AI Fracture Diagnosis Programme

Opportunity North East (ONE) and the Scottish Government have recently announced the five organisations selected for the first stage of a landmark project to develop artificial intelligence (AI) solutions to support fracture diagnosis in hospitals. The project will see up to £240,000 invested in innovative data technology.

Bering Limited, Red Star AI Limited, SeeAI, Ltd and the Department of Computing Sciences at the University of Aberdeen, were shortlisted from a field of 40 organisations having applied through a two-phase Small Business Research Initiative (SBRI) competition, supported by Innovate UK, in July of this year.

The first phase of the programme will be delivered over a 12-week period, with the five organisations receiving £20,000 each to complete a feasibility study to create AI or machine learning algorithms that will interpret data from upper limb (wrist or hand) and lower limb (ankle or foot) radiographs to diagnose fractures in unscheduled care facilities, such as accident and emergency departments. They will be working alongside NHS Grampian, the University of Aberdeen, and Canon Medical Research Europe. Two organisations will then be selected from the five to progress to the second phase of the programme – prototype development and testing – receiving £70,000 each over a nine-month period.

Professor Stephen Logan, Chair of the ONE Life Sciences sector board commented: “By harnessing the expertise of clinicians and industry, this project will develop innovative AI solutions which will not only help clinicians to make quicker patient diagnoses and treatment decisions, but also enhance patient care. It is vital in achieving ONE’s ambition of developing a Life Sciences cluster in the North East of Scotland that is recognised – nationally and internationally – as a centre of excellence for biologics, imaging and digital and we are delighted to be driving this initiative forward with Scottish Government and our key partners.”

Scottish Government Chief Scientist (Health and Social Care) Professor David Crossman said: “Well done to the five applicants who will now be innovating with the NHS, academics and industrialists to develop AI algorithms to better diagnose fractures. By removing routine activity from radiologists’ busy workloads, we will free up capacity for those patients with the most complex medical need for diagnosis.”

Dr Andy Keen, NHS Grampian clinical lead for innovation said: “We are excited to see what the five organisations selected will bring in the next stage of this SBRI competition. To have had forty industry partners come forward in the initial call to generate a solution that speeds up fracture diagnosis, is very encouraging. This is the first example of a programme of work focused on using digital technology to improve healthcare delivery at source.”

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