Our Platforms

Healthcare AI requires state-of-the-art technology to achieve the best results for clinicians and patients.

The AI Centre are developing a range of technologies and platforms, to enable better identification of diseases early, more accurate diagnosis and personalised treatment.

These Platforms to Support Full Lifecycle AI Development, taking models from conception, to development and deployment, within the clinical environment.

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The following technologies are currently under development:

  • FLIP – Federated Learning Interoperability Platform: FLIP links data from multiple NHS Trusts to enable AI at scale. It includes secure data storage for processing and analysis within each of our partner NHS Trusts – a secure enclave or area within the firewall that keeps sensitive patient data inside the Trust. Our federated learning approach brings algorithms to the data within each NHS Trust’s secure enclave, without needing to share information outside the secure firewall or break local governance rules. Algorithmic models are sent to multiple Trusts and trained on local data before being securely combined to achieve consensus. The model is then applied within each secure enclave, where it learns from the data, is updated again, and the process repeated until an improved consensus model is created. To achieve convergence, the process of learning and combining is reiterated, until each locally applied model reaches the same conclusion, indicating that the model is generalizable and can be consistently applied.

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  • Cogstack:
    This ‘in-house’ spin out from KCL, KCH, UCLH, SLaM and GSTT had been operating in our hospitals for a number of years. Its platform uses Natural Language Processing (NLP) to extract concepts from medical records and Machine Learning models (MedCat) to speed up diagnosis, treatment options, enhance coding and improve data quality.
  • DeepC
    DeepC is an external company that provide an AI deployment platform which synchronises radiology and radiotherapy applications in a wide range of clinical pathways. It orchestrates data flows and predictions, and provides platform for monitoring, across radiology AI applications. The AI Centre and DeepC entered a collaboration agreement on use and future developments of the platform. NHS trusts are also using the DeepC platform to deploy in-house AI Models in radiology and radiotherapy, such as AutoSeg: a chemotherapy automated organ contouring application.

AI Centre