In 2017, General Electric Company (GE) declared its partnership with Nvidia and will import its 500,000 computerized tomographies into NVIDIA’s AI platform to improve the speed and the precision of physician diagnostics.
General Electric Company further stated that the import of 500,000 Revolution Frontier CT into NVIDIA’s AI platform will not only reduce the amount of radiation but will also increase the image processing speed of the computer to greatly improve the doctor’s workflow, which saves a lot of time.
The Revolution Frontier CT (Computerized Tomography) has been approved by the U.S. Food and Drug Administration (FDA). In the case of accelerated image processing, clinical testing of liver and kidney lesions is expected to lead to better results. Moreover, GE Healthcare is the first medical device vendor to adopt the NVIDIA GPU Cloud cloud platform.
According to GE’s official website, GPU-accelerated deep learning technology can be used to create more complex neural networks. Future applications include improving 2D and 4D image display, providing visualization and quantitative data for patient blood flow, and improving medical status assessment.
On average, hospitals will generate 50PB of data per year, and most of the data will not be processed or analyzed. And this is where NVIDIA comes to the rescue. NVIDIA’s AI chip will speed up the processing of this large amount of data. In addition, NVIDIA and GM will deepen the cooperation of cloud services in which GM will store some data in NVIDIA’s GPU cloud platform.
Aside from cooperating with GE, NVIDIA has also announced its partnership with Nuance Communications. This partnership allows NVIDIA’s deep learning platform to incorporate with Nuance’s imaging diagnostic AI system. In the future, 70% of radiologists across the US can share images and reports; the solution greatly improves work efficiency. As we can see from these two cooperations, NVIDIA is extremely ambitious and confident in promoting AI in the medical industry.
Sources:
https://www.ge.com/
http://newsroom.gehealthcare.com/intelligent-machines-changing-healthcare-man-machine-friends/
https://nvidianews.nvidia.com/news/ge-and-nvidia-join-forces-to-accelerate-artificial-intelligence-adoption-in-healthcare
https://blogs.nvidia.com/blog/2017/11/26/ai-medical-imaging/
https://www.accessdata.fda.gov/scrIpts/cdrh/cfdocs/cfRL/rl.cfm?lid=525731&lpcd=JAK
https://www.beckershospitalreview.com/artificial-intelligence/ge-healthcare-expands-partnership-with-nvidia-to-advance-ai-for-medical-imaging.html
https://www.nuance.com/about-us/newsroom/press-releases/nuance-nvidia-advance-ai-radiology.html