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Cloud initiatives to expand image sharing, AI refinement and use

[2019.12.02, Mon 08:03] Initiatives to facilitate image sharing and the use of artificial intelligence are emerging as radiologists gather to discuss technology advancements. The partnerships begin to work at the conundrum of how to use the growing numbers of digital radiological images to improve care and expand the use of artificial intelligence across multiple organizations through cloud-based approaches. At the 2019 RSNA conference, NVIDIA is expanding its Clara image-sharing model in a concept it calls NVIDIA Clara Federated Learning, which aims to support data sharing while enabling healthcare organizations to retain control of their images. In another announcement timed for the RSNA conference, Change Healthcare and Google Cloud are working together to build out what they're calling a "Next-generation enterprise imaging initiative." Change Healthcare is hosting the initiative on the Google Cloud Platform. The partners will migrate more than 66 million studies to the Change Healthcare Enterprise Imaging Network cloud, with more than 2.8 petabytes being handled by the network. The imaging network will include an image archive, image viewer, imaging analytics and Change Healthcare's AI Orchestration Services, a vendor neutral platform that streamlines integration of multiple AI algorithms across multiple vendors. "From the time we first partnered with Google Cloud, we've focused on building a solution that doesn't simply replicate traditional on-premise systems, but delivers everything providers expect in an enterprise imaging service, plus clinical and operational capabilities that are only available through a true cloud-native SaaS platform."
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