King’s harnesses AI to enhance patient care

Artificial Intelligence (AI) algorithms from patient scans and data will help speed up diagnosis across several clinical services

Professor James Teo

Artificial Intelligence (AI) algorithms from patient scans and data will help speed up diagnosis across several clinical services

King’s College Hospital in London is using artificial intelligence (AI) to support clinical decision-making and personalise patient care. AI has the ability to analyse large quantities of complex information to produce algorithms that can assist with diagnoses and treatment.

In the initial deployment, anonymised patient data will be fed into the AIDE (AI Deployment Engine) to build a detailed picture of the different types of stroke patients can experience, and the best treatment in each specific case. While AI itself improves outcomes related to diagnostic images, AIDE increases this benefit exponentially by creating a single interface for the deployment of many different AI tools, directly to NHS frontline services. Stroke is just one example of the many uses of AIDE, and it will be rolled out in other clinical areas at King’s over time.

James Teo, Professor of Neurology at King’s College Hospital, is the first clinician to use AIDE. Professor Teo said, “I am delighted to be the first user of the AI Centre’s AIDE solution. At King’s, we will be sharing the capabilities of artificial intelligence with colleagues across London to improve the lives of our patients. AI will hugely support our work and help us personalise care and treatment for patients through providing richer information about the individual and their illness.”

Launched in 2019, the AI Centre was established as part of the UK Government’s Industrial Strategy Challenge Fund. Led by King’s College Hospital, King’s College London and Guy’s and St Thomas’ NHS Foundation Trust, the AI Centre consortium has over 30 partners including 10 NHS Trusts, four universities as well as a range of small and medium enterprises (SMEs) and multinational organisations.

The stroke AI tool was developed in close collaboration with teams at University College London and King’s College London, with support from the Wellcome Trust. It represents the next generation of high-dimensional AI tools which provide richer detail to support decision-making and treatments. AIDE will reduce the time taken to use AI models and directly increase the delivery of early interventions and treatment.

Haris Shuaib, Head of Clinical Scientific Computing and Consultant Physicist at Guy’s and St Thomas’ NHS Foundation Trust, explained, “AIDE is a clinical system that supports the deployment of multiple AI models into a hospital and integrates them with existing clinical workflow. This lowers the cost and effort to deliver cutting-edge med tech to the frontline, to improve patient outcomes and healthcare operations.”

Beverley Bryant, Chief Digital Information Officer at King’s College Hospital and Guy’s and St Thomas’ and NHS Foundation Trusts, and SRO for the AI Centre commented, “We are delighted at the research and input from our consortium members. Working with a technology partner has expedited the launch of AIDE. This is just the beginning as we support the transformation of clinical diagnosis and treatments to be shared across the NHS and exported internationally.”

Professor Seb Ourselin, AI Centre Deputy Director, concluded, “This is a critical milestone into our journey to enable safe and robust deployment of AI innovations into the clinic. This could only be achieved through a strong partnership between the academic and industry sectors with the NHS. We are looking forward to scale-up our platform across our 10 NHS Trust partners and beyond.”

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