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As part of the delivery of the Industrial Strategy Challenge Fund (ISCF), the Business Secretary has announced five new Centres of Excellence for Digital Pathology and Imaging, including Radiology, using AI medical advances.
The announcement was made at an event developed and delivered by the Turing Gateway to Mathematics on behalf of the National Institute for Health Research, EPSRC Centre for Mathematical Imaging in Healthcare and University of Cambridge School of Clinical Medicine. The event was hosted at The Alan Turing Institute in London.
The event considered how to accelerate the application of artificial intelligence to clinical imaging.
It reviewed recent scientific and policy developments in the field of artificial intelligence (AI) and machine learning (ML) applied to clinical imaging and identified key steps that will expedite the delivery of research in the field, in partnership with academia, industry, patients and clinical researchers.
NIHR, CMIH and TGM were delighted that the Department for Business, Energy and Industrial Strategy and UK Research and Innovation chose to make the announcement, by Sam Gyimah MP, Minister of State for Universities, Science, Research and Innovation at this event. Each of the 5 Centres were represented and gave short presentations about their goals and objectives and how they will collaborate to share outcomes.
Business Secretary Greg Clark said:
“AI has the potential to revolutionise healthcare and improve lives for the better. That’s why our modern Industrial Strategy puts pioneering technologies at the heart of our plans to build a Britain fit for the future.
“The innovation at these new centres will help diagnose disease earlier to give people more options when it comes to their treatment, and make reporting more efficient, freeing up time for our much-admired NHS staff time to spend on direct patient care.”
The Centres will use AI, to find new ways to speed up diagnosis of diseases to improve outcomes for patients. The Centres are based in Leeds, Oxford, Coventry, Glasgow and London and will develop more intelligent analysis of medical imaging, leading to better clinical decisions for patients, and freeing more staff time for direct patient care in the NHS.
UKRI Chief Executive Professor Sir Mark Walport said:
“Early diagnosis of illness can greatly increase the chances of successful treatment and save lives.
“The centres announced today bring together the teams that will develop artificial intelligence tools that can analyse medical images varying from x-rays to microscopic sections from tissue biopsies. Artificial intelligence has the potential to revolutionise the speed and accuracy of medical diagnosis.”