Who we are
The National Consortium of Intelligent Medical Imaging (NCIMI) is revolutionising healthcare through Artificial Intelligence (AI).
We are a partnership between NHS trusts, companies, universities, charities and patient groups coordinated by the University of Oxford.
How we work
We believe innovation takes place across sector boundaries, and have brought together partners to enable this innovation to happen with greater speed and impact.
We use de-identified patient data coupled to clinical insight, to support the development, validation and deployment of medical imaging AI to improve patient care.
The Consortium is led from Oxford University at the Big Data Institute , recognised as the world’s best institution for medical research and the best in Europe for both engineering and computer science.
Clinical partners include global experts from across the country to address challenging unmet needs in cancer, cardiovascular diseases and metabolic health across the whole NHS.
What we offer
NCIMI can support projects at all stages along the development pipeline – including initial project scoping and pilot data collection, large data set acquisition, development for algorithm training and validation, reader studies and real-world evaluation.
Funded by Innovate UK in 2019 through the Industrial Strategy Challenge Fund’s drive to support the UK’s AI sector, our knowledge and findings are shared through our national, cloud-connected network of hospitals supporting AI research and data sharing for innovative projects with the NHS, academia and industry.
We are one of a network of 5 “Centres of Excellence” across the UK including:
London Medical Imaging and Artificial Intelligence Centre for Value-Based Healthcare
Northern Pathology Imaging Collaborative (NPIC)
Where we work
- 1: Unmet need
- 2: Prototyping
- 3: Internal Testing
- 4: External Validation
- 5: Market Evaluation
Following early-stage R&D there may be a beta-AI solution. These projects likely involve greater data volume and possibly more sites, to develop robust, diverse training data sets
Early diagnosis and treatment planning for Endometriosis
NCIMI supports external testing by providing ‘unseen’ real-world data sets; evaluation against current readers in clinical practice; and real-time evaluation in clinical practice
No projects at this stage found