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Artificial Intelligence Homepage

AI tool for Alexa and smart devices detects cardiac arrest in sleeping patients Monitors patients for agonal breathing

Silicon Valley investor paints dire picture for future of radiologists Claims they should no longer exist in a decade

AMA issues recommendations for accountability of AI in healthcare Aid in advancing quadruple aim

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Google and Northwestern develop deep learning model for lung cancer detection Performed as well or even better than radiologists

Boston Children's Hospital teaming with GE Healthcare to develop radiology AI The first focus will reportedly be on brain scans

Nvidia unveils Clara AI platform at GPU Technology Conference

by John R. Fischer , Staff Reporter

Others are the National Institutes of Health Clinical Center, for developing a domain generalization method for the segmentation of the prostate from surrounding tissue on MR scans; and the University of California, San Francisco for the creation, testing and deployment of multiple algorithms across radiology that can serve as guides to help future clinicians adopt the system.

“This is a toolkit for developers in medical imaging to commercialize. We expect them to use these tools and build on them, commercializing it for their customers," said Scotto DiVetta. "We are trying to broaden the definition of developer to include more domain experts.”
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Development of the platform was announced at last year's GPU Technology Conference, with Nvidia saying it would be a "single virtual supercomputer".

Included in the toolkit are two software development toolkits, Clara Train SDK and Clara Deploy SDK. Both can be accessed from NGC, and deployed on the NVIDIA T4 server and NVIDIA DGX POD. Clara Deploy SDK open beta is available today on NGC. Clara Train SDK is also available for early access.

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