Carestream Selects HPE Greenlake To Transform healthcare Platform Using Artificial Intelligence-as-a-Service
HPE experts will provide Carestream a scalable, future-proof AIaaS platform to develop, deploy, monitor, and support AI models served to Carestream’s edge imaging systems
HOUSTON, Texas – May 20, 2021 – Hewlett Packard Enterprise (NYSE: HPE) today announced that Carestream Health, a leading global provider of medical imaging systems, has selected HPE to power a transformative new healthcare initiative based on artificial intelligence-as-a-service (AIaaS). Based in Rochester, NY, Carestream will use HPE GreenLake for Machine Learning Operations (ML Ops), a machine learning-optimized cloud service infrastructure powered by HPE Ezmeral and HPE Pointnext AI Services. The new infrastructure enhances X-ray solutions and workflows for medical professionals and patients, facilitating the next generation of AI-enabled imaging devices for medical diagnosis.
Carestream’s next-generation platform leverages powerful AI technology to streamline, transform, and improve the medical imaging process, adding value across the entire imaging chain for both patients and providers. AI algorithms are used to improve accuracy, automate radiology workflow processes, and reduce cycle times. The new AIaaS healthcare solution will accelerate development, compliance, and operational processes such as deploying updates of new machine learning and deep learning models. Over time, hospitals using Carestream’s platform will be able to scale to assist more patients and use mobile solutions to address patient needs wherever needed. Time-consuming local software updates will be replaced by cloud hardware and service upgrades, enabling hospitals to evolve their medical imaging capabilities, seamlessly meeting compliance requirements.
HPE’s collaboration with Carestream will impact medical imaging technology on a global scale, as Carestream’s X-ray platforms are already in use across 140 countries, spanning over 100,000 pieces of equipment and 35 different hardware configurations. Deploying Carestream’s robust pipeline of advanced AI algorithms across diverse legacy hardware is challenging, but HPE’s hybrid cloud solution will play a key role.
“Carestream was already ahead of the curve in using AI for medical imaging, and this close collaboration with HPE helps us scale to support the evolving needs of our global customer base,” said Carestream CTO Dharmendu Damany. “HPE GreenLake Cloud Services enables Carestream to embrace the hybrid cloud, so we can focus on supplying customers with superior on-premise imaging hardware, while delivering AI services and software updates through the cloud.”
Collaborating closely with Carestream and delivering the initial AI advisory services, HPE experts will provide Carestream a scalable, future-proof AIaaS platform to develop, deploy, monitor, and support AI models served to Carestream’s edge imaging systems. HPE servers include GPUs developed by NVIDIA, a key AI hardware partner in the project, enabling each server to tackle multiple imaging and analysis tasks simultaneously. HPE and NVIDIA technology will also facilitate federated learning – the aggregation of anonymized machine learning data across multiple provider facilities. Federated learning is expected to revolutionize healthcare research and development over the next decade, enabling researchers to increase diagnostic intelligence and automation without compromising patient privacy.
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