Graphics processing unit (GPU) technology developer Nvidia and King's College London are set to embark on an initiative that uses the company's DGX-2 servers and workstations and Clara virtual supercomputing platform to connect artificial intelligence with healthcare.
Nvidia CEO Jensen Huang provided details of the partnership during his keynote address on October 10 at the company's GPU Technology Conference (GTC) in Munich.
King's College London will deploy Nvidia's AI offerings to advance radiology and pathology to better serve some 8 million patients in the U.K.'s National Health Service (NHS). Nvidia and King's College London plan to connect researchers and engineers with clinicians at major London hospitals, including King's College Hospital, Guy's and St Thomas', and South London and Maudsley. The goal is to accelerate the development of critical data strategies, target AI issues, and speed deployment of AI in the clinical setting.
Nvidia's DGX-2 technology, which features 2 petaflops of computing power, will first be used for advanced imaging and analytics to train 3D datasets in a matter of minutes, rather than days. Nvidia's Clara virtual supercomputing platform will then be used to deploy the AI applications.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
