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Thomas Dworetzky, Contributing Reporter | October 29, 2018
“NVIDIA is a clear leader in the deep learning revolution, and we are honored to have been accepted into their renowned Inception program,” said Dr. Christopher Bouton, founder and CEO of Vyasa. “At Vyasa, we’re developing and applying deep learning analytics to high-value use cases for our life sciences and healthcare clients, and NVIDIA’s technology will help us fuel these advances.”
The evolution of NVIDIA to a player in the healthcare space has been rapid – it made its first appearance at RSNA in 2017. That appearance was the result of a decade-long effort that now has it working with major firms like GE Healthcare on new algorithms, such as one for CT dose reduction and image processing.
“We’ve never exhibited at RSNA because we’ve largely been in the instrument or in the workstation that runs the PACS software,” Powell told HCB News during an interview at the show. “Over the last couple [of years] there’s all this really interesting new opportunity that’s coming about in all the image processing techniques, brand new visualization techniques and, of course, now artificial intelligence.”
She thinks the growth into health from the company's graphic-heavy roots means there is “definitely going to be an opportunity for a new computing platform that will be needed for health care,” Powell continued. “For self-driving cars, we’ve created an AI supercomputer that goes in the car. It is about the size of a textbook and it has the same computational capacity as 60 servers. If we can understand the problem in health care from start to finish, of when the patient enters the room to be imaged all the way through to presenting the information to the radiologists, we can make all these computational efficiencies across that, and introduce all sorts of new capabilities and innovations.”
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