Artificial Intelligence (AI) algorithms from patient scans and data will help speed up diagnosis across several clinical services
King’s College Hospital 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.”