Flywheel and Microsoft collaborate to unlock powerful data

Flywheel, a leading medical imaging artificial intelligence (AI) development platform, today announced the launch of its software-as-a-service (SaaS) data management solution on Microsoft Azure.

The Flywheel collaboration with Microsoft and NVIDIA helps researchers and healthcare professionals overcome barriers and accelerate the management, curation, and analysis of medical imaging data to extract and mobilize valuable insights that advance personalized care, clinical research, and real-world evidence (RWE).

Richard Bruce is an associate professor of radiology and radiology vice chair of Informatics at the University of Wisconsin School of Medicine and Public Health.

He said: “As an established Nuance and Flywheel customer, we are excited to explore how this deep integration between systems may allow us to increase the speed and scale of research. Our focus is on bridging the gap within medical imaging from innovation to patient care in ways that improve outcomes and make innovation care more accessible.”

Flywheel says it provides a sophisticated infrastructure for the curation of high-quality, standardized datasets within a secure, scalable, and user-friendly SaaS solution.

The platform provides a swift process to prepare and train data for AI model development and supports research among pharmaceutical and life sciences companies, research institutions, and healthcare providers.

“We are standing on the cusp of a revolution in healthcare, poised to leverage the vast potential of medical imaging data. But harnessing this potential responsibly means ensuring the data is meticulously managed, accurately labelled, diligently curated, and rigorously tested. It’s a matter of trust. Our collaboration with Microsoft and NVIDIA epitomizes this commitment,” said Trent Norris, chief revenue officer at Flywheel.

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