Artificial Intelligence Centre for Value Based Healthcare

The AI Centre (AIC) at Guy's and St Thomas' NHS Foundation Trust and King's College London are partnering with the University of Cambridge, Cambridge University Hospitals NHS Foundation Trust, and NHS Trusts across the UK - to harness the power of the newly launched Zenith AI Supercomputer. This national-scale capability will accelerate the development and deployment of impactful healthcare AI solutions. Through this collaboration, we are working to connect NHS data and expertise with high-performance computing infrastructure. This will enable the development of next-generation tools in predictive analytics, diagnostics, and personalised medicine. A key priority for us is advancing cancer research through the MOSAIC (Multimodal Oncology Sovereign AI Collaboration) programme, where we are contributing to the development of NHS cancer foundation models. https://lnkd.in/eb4rEHXe. #NHS, #AI4healthcare, #supercomputer Joe Zhang, Sebastien Ourselin FREng FMedSci, Professor Ian Abbs, Adam Igra, Sigal Hachlili Dwyer, Chris Tomlinson, MD, James Teo, Gary McAllister

Great to see London Institute for Healthcare Engineering winning the RIBA award! It’s a wonderful place to work - we are greatful to be hosted here. https://lnkd.in/eSajws3d Sebastien Ourselin FREng FMedSci , Irina Badita , Nicolas Huber, Guy's and St Thomas' NHS Foundation Trust , King's College London

On 14th April 2026, the AI Centre ran a workshop to showcase the progress of the #AI Framework workstreams, with the aim to develop NHS system wide approach to AI adoption effectively and safely within Southeast London. The team presented Successful AI use cases, processes for AI deployment, and a new AI Assessment tool. The tool, developed by Jessica Rose Morley, PhD, aims to help NHS organisations assess whether a specific AI tool is appropriate. The workshop generated some great discussions with colleagues from across the system, including some honest reflections around adoption challenges, ethics concerns and patient views. Thank you to Jawad Chaudhry, Sigal Hachlili Dwyer, Jessica Rose Morley, PhD, Dijana Vilic, Matea Deliu MD, PhD, MRCGP, Findlay Macaskill, Lisa law, Nisha Wheeler and the London Institute for Healthcare Engineering.

Join the European Observatory on Health Systems and Policies webinar: Demystifying artificial intelligence in health: What health policy-makers need to know, 26 March 2026 12:00 – 13:00 CET. Jasjot Saund will be talking about the AI Centre work within the OneLondon SDE. https://lnkd.in/dsNF9pXb 

From Silos to Synapses: Why Federated Learning is the Network Healthcare AI Has Been Waiting For: The conversation around artificial intelligence in healthcare is no longer just about the algorithms themselves. It’s about the networks that will power them. FLIP is enabling this kind of data network infrastructure; Instead of moving patient data to a central location to train an algorithm, FLIP moves the algorithm to the data. The data stays within the hospital's secure walls, behind its own governance firewall. Only the anonymous model updates—the "learning"—are shared and aggregated to build a powerful, generalisable AI. https://lnkd.in/evCtjYTg Rafael Garcia-Dias, PhD, Alex Triay Bagur, Martin Chapman, Joe Zhang, Emily Jin, James Teo, Virginia Fernández González, M. Jorge Cardoso, Sebastien Ourselin FREng FMedSci, Sigal Hachlili Dwyery, Jawad Chaudhry, Dr. Franz MJ Pfister, MD, MBA,

AI Centre for Value Based Health Care featured in new European Observatory on Health Systems and Policies book on AI and Health Policy. “Demystifying artificial intelligence in health: What health policy-makers need to know” is a new publication written for those working in, or alongside, the health sector who are increasingly required to engage with artificial intelligence (AI). The book is published by the World Health Organization and aims to demystify AI for health policy-makers, offering a clear-eyed view of its capabilities, limitations and implications. Co-written by Jasjot Saund, It features among the case studies included is the OneLondon Secure Data Environment (SDE) which explores how secure, well-governed data infrastructure can provide the foundations for responsible and scalable AI deployment within the NHS. https://lnkd.in/ekG935fu

Excited to announce that we and deepc launched FLIP, an Open-Source Platform to Enable Health AI Innovation at Scale, in Partnership with OneLondonand Flower Labs. The AI Centre for Value-Based Healthcare at King's College London and Guy's and St Thomas' NHS Foundation Trust, together with strategic partner deepc, announced the launch of FLIP: A fully open-source federated learning interoperability platform designed to support large-scale, collaborative development of healthcare AI while ensuring patient data remains local and under each healthcare organisations' control.   Developed within the NHS ecosystem in collaboration with OneLondon and Flower Labs, FLIP is designed to enable secure, multi-institutional AI collaboration across health systems. It is governed, and maintained within the NHS, FLIP enables AI models to be trained across one or multiple institutions while data stays within secure local environments. Initial programs running on FLIP are demonstrating federated AI capabilities across diverse clinical applications, including radiology, multimodal inflammatory diseases, and the development of digital biomarkers. In partnership with St. John’s Institute of Dermatology, researchers are developing digital biomarkers for inflammatory skin disease using multimodal data. https://lnkd.in/eKQhpRdh Thank you to: Joe Zhang, Sebastien Ourselin FREng FMedSci, Alex Triay Bagur, Rafael Garcia-Dias, PhD, Virginia Fernández González, M. Jorge Cardoso, Dr. Franz MJ Pfister, MD, MBA, Dr. Julia Moosbauer, Jawad Chaudhry, James Teo, Teddy Hla, Sigal Hachlili Dwyer, Marc Modat, Emily Jin, Martin Chapman, Lawrence Adams

Great to see impact of AI-Powered Radiology application in Emergency Department at Lewisham and Greenwich NHS Trust.   They have been piloting the Radiobotics RBfracture AI app – on a technology platform deepc, which is integrated with the hospital’s imaging systems. This tool analyses X-rays in real time, providing preliminary reports that support radiologists and Emergency Department staff in making faster, more accurate decisions for patients treatment. https://lnkd.in/eksHJrQZ Great work from: Dr Sarojini David, Steve Thorndyke, Dr Aoife Fox, Dr Elaine Harding, Helen Hughes, Yinka Onifade, Kelly Lewis-Towler, Gian-Marco Strappelli. In collaboration with deepc, Adam Leps, Sebastien Ourselin FREng FMedSci, Jawad Chaudhry, Greg Smith

It was great to attend the AI and Innovation in Perioperative Care  on Tues 9th Dec 2025 at Guy's and St Thomas' NHS Foundation Trust. This event was organized by Dr Mary Madden and Clarissa Y M Carvalho for anaesthetists to learn about AI in practice. It was full of interesting talks and workshops. Including a session with Kass Gibson about AI regulation and policies. 

Great to see the Artificial Intelligence Centre for Value Based Healthcare team showcase some of our work at #ISPOR Europe 2025 on 𝗙𝗟𝗜𝗣 (𝗙𝗲𝗱𝗲𝗿𝗮𝘁𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺), population health 𝗠𝗲𝗱𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗔𝗱𝗵𝗲𝗿𝗲𝗻𝗰𝗲 𝗜𝗻𝗱𝗲𝘅 and 𝗢𝗻𝗰𝗼𝗟𝗹𝗮𝗺𝗮- large language model #LLM to extract meaningful concepts for Cancer. Well done Alex Triay Bagur, Rafael Garcia-Dias, PhD, Virginia Fernández González, Jasjot Saund, Emily Jin, Dan S., Isobel Weinberg, Lawrence Adams, Joe Zhang, Martin Chapman, Guy's and St Thomas' NHS Foundation Trust, Sebastien Ourselin FREng FMedSci, OneLondon