King’s College London and Nvidia to build radiology AI platform

Radiology, or medical imaging, is a cornerstone of medical science, but interpreting the images manually can be extremely time-consuming. Training AIs to recognise patterns in medical scans could help doctors diagnose conditions more quickly, while also freeing medical personnel from the repetitive task. The collaboration with Nvidia is part of King’s London Medical Imaging & AI Centre for Value-Based Healthcare, an ongoing project intended to transform 12 clinical pathways in oncology, cardiology and neurology.

The partnership will see King’s using Nvidia’s DGX-2 systems, 2-petaflop supercomputers developed specifically for AI research. It will also use Nvidia’s Clara AI toolkit, in combination with the university’s in-house imaging system NiftyNet, as well as third-party imaging technologies from partners such as Kheiron Medical, Mirada and Scan. As part of the project, researchers and engineers from Nvidia and King’s will join clinicians from major London hospitals onsite at King’s College Hospital, Guy’s and St Thomas’, and South London and Maudsley.