Flywheel has launched its software-as-a-service (SaaS) data management solution on Microsoft Azure, which integrates with NVIDIA MONAI and Azure Machine Learning Studio for the development and deployment of production-grade AI applications, accelerating significant advances in medical imaging research and AI model development across the healthcare ecosystem.
Flywheel provides a sophisticated infrastructure for the curation of high-quality, standardized datasets within a secure, scalable, and user-friendly SaaS solution. The platform enables an accelerated process to prepare and train data for AI model development, supporting research among pharmaceutical and life sciences companies, research institutions, and healthcare providers.
Flywheel users will be able to seamlessly enhance patient cohort discovery and enrich images with refined data from radiology reports all with one-click from mPower Clinical Analytics by Nuance, a Microsoft company.
The synergy between Microsoft Azure Machine Learning, NVIDIA MONAI and Microsoft’s advanced services creates a robust platform and empowers researchers, clinicians, and scientists around the world with the proven scalability of our AI-enabled solutions,” said Trent Norris, Chief Revenue Officer at Flywheel.
Flywheel’s expertise in medical imaging, combined with the power and scale of Azure and the advanced image analysis capabilities of mPower, is ushering in a new era of healthcare innovation,” said Peter Durlach, Corporate Vice President, Health & Life Sciences at Microsoft.
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