NVIDIA and King’s College London have announced a new partnership focused on developing a new artificial intelligence (AI) platform to improve radiology workflows. The platform, once complete, will help providers from the U.K.’s National Health Service (NHS) automate “the most time-consuming” aspects of providing imaging services.
The partnership is part of the ongoing King’s London Medical Imaging & AI Centre for Value-Based Healthcare project, which was first launched to improve the overall quality of care being provided by the NHS. NVIDIA’s DGX-2 supercomputers and the NVIDIA Clara AI toolkit are both being implemented by the university as a part of the project.
“This centre marks a significant chapter in the future of AI-enabled NHS hospitals, and the infrastructure is an essential part of building new AI tools which will benefit patients and the healthcare system as a whole,” Sebastien Ourselin, head of the School of Biomedical Engineering & Imaging Sciences at King’s College London, said in a prepared statement. “The NVIDIA DGX-2 AI system’s large memory and massive computing power make it possible for us to tackle training of large, 3D datasets in minutes instead of days while keeping the data secure on the premises of the hospital.”
“Together with King’s College London, we’re working to push the envelope in AI for healthcare,” Jaap Zuiderveld, vice president of sales and marketing for Europe, Middle East, and India, said in the same statement.
Michael has more than 16 years of experience as a professional writer and editor. He has written at length about cardiology, radiology, artificial intelligence and other key healthcare topics.