UCSF, Nvidia partnership will develop new AI tools for radiology

The University of California, San Francisco is employing Nvidia technology to help develop artificial intelligence tools for clinical radiology. WHY IT MATTERS The two organizations will work together on several AI projects, including brain tumor segmentation, liver segmentation and clinical deployment, leveraging Nvidia's Clara healthcare toolkit and the tech giant's DGX-2 AI system. Clara Medical Imaging provides developers with the tools to build, manage and deploy intelligent imaging workflows and instruments, while Clara Genomics addresses the growing size and complexity of genomics sequencing and analysis with accelerated and intelligent computing. Powered by DGX software and the scalable architecture of Nvidia NVSwitch, the DGX-2 is a 2 petaFLOPS system combining 16 interconnected graphical processing units – the system could help UCSF researchers significantly cut the time to train AI models. The number of images acquired during common studies such as MRI and CT scans has swelled in recent years corresponding with the growing number of patients being imaged.