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School of Biomedical Engineering & Imaging Sciences
Faculty of Life Sciences & Medicine

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London Medical Imaging and AI Centre for Value Based Healthcare

AI-enabled hospitals for the future of patient care 

The London Medical Imaging & AI Centre for Value-Based Healthcare is a consortium of academic, NHS and industry partners led by King’s and based at St Thomas’ Hospital.  

Our diverse research teams are training sophisticated artificial intelligence algorithms from a vast wealth of NHS medical images and patient pathway data to create new healthcare tools.  

For patients, these will provide faster diagnosis, personalised therapies and effective screening across a range of conditions and procedures. 

Through a focus on our experience in value-based healthcare we are examining how AI can be used to optimise triage and target resources to deliver significant financial savings for the NHS and healthcare systems overall. 

The centre has been established as part of the UK Government’s Industrial Strategy Challenge Fund, delivered through UK Research and Innovation.

The Centre will provide a fantastic opportunity to transform patient pathways by using advanced imaging and AI and help make the products that will substantially improve the experience for our patients and their clinical outcomes. It will also allow us to better utilise the resources within the NHS.

Professor Reza Razavi, Centre Director

 

 

About our Centre

Discovering new solutions across 12 patient pathways

State of the art data processing power

Unique consortium of partners

Optimising triage with our expertise in value-based healthcare

 

 

Our Centre Partners

In order to achieve these results, the Centre brings together an ambitious consortium including two other universities (Imperial and Queen Mary’s University London), King’s Health Partners NHS Foundation Trust partners, Guy’s and St Thomas’, King’s College Hospital and South London and Maudsley, with Bart’s Health, multinational industry (Siemens, NVIDIA, IBM, GSK), 11 UK-based SMEs and the Health Innovation Network.

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