The AI Centre is led by King’s College London and Guy’s and Thomas’ NHS Foundation Trust, alongside 10 NHS Trusts, four Universities, a number of multi-national industry partners including Siemens, NVIDIA, IBM, GSK, 10 UK-based SME’s and the Health Innovation Network, and was established in February 2019 as part of the UK Government’s Industrial Strategy Challenge Fund. At the AI Centre, we are developing technology that allows us to access large volumes of well-curated clinical data in a controlled environment, with the appropriate technical architecture, governance, and clinical expertise. Our two platforms, AIDE (AI Deployment Engine) and FLIP (Federated Learning & Interoperability Platform), will provide access to high-quality electronic health data for the purpose of deployment and development of AI Technology. Scaling AI across 10 NHS trusts, it will enable testing and deployment of AI in clinical practice and share data in a way that is safe and secure. We are also creating applications that will drive innovation in healthcare and allow for the fundamental redesign of clinical pathways to improve outcomes and reduce costs.
AI Centre Director, Reza Rezavi says “We want to make best practice contributions when it comes to the ethical use of health data and that’s key to us being part of the UK Health Data Research Alliance. At our AI Centre, we know that AI driven technology provides significant opportunities to improve diagnostics and therapies as well as reduce administrative costs. With machine learning, we can use existing data to help clinicians better predict when disease will occur, diagnosing and treating it earlier, and personalising treatments, which will be less resource intensive and provides better health outcomes for patients worldwide.”
The Synthetic Brain Project is focused on building deep learning models that can synthesize high-resolution morphologically-correct 3D MRI images of human brains.
These models and datasets will help scientists pave the way toward better federated-learning setups, more robust models under limited data and safer pipelines via anomaly detections.
The AI models were developed by King’s and NVIDIA scientists and engineers as part of The London Medical Imaging & AI Centre for Value-Based Healthcare research funded by UK Research and Innovation and a Wellcome Flagship Programme (in collaboration with University College London).
The dataset is composed of over 100,000 T1w 1mm isotropic synthetic brains of different gender, ages, ventricular sizes and size to head ratios.
The code and models will available as open-source upon publication and NVIDIA has made open-source contributions to improve the performance of the fast-transformers and MONAI projects on which The Synthetic Brain Project depends.
To find out more, contact Jorge Cardoso