Flywheel and Microsoft collaborate to unlock powerful data insights in medical imaging

By Liza Laws

- Last updated on GMT

© Getty Images
© Getty Images

Related tags AI Artificial intelligence Data management machine learning Drug discovery Research

Healthcare breakthroughs have long-standing barriers when it comes to unlocking the powerful insights trapped in medical imaging 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.

“The synergy between Microsoft Azure Machine Learning, NVIDIA MONAI, and Microsoft’s advanced services creates a robust platform that is integral to our mission. This unified approach is not just about technology. It’s about empowering researchers, clinicians, and scientists around the world with the proven scalability of our AI-enabling solutions. It enables them to accelerate discovery, drive innovation, and ultimately, enhance healthcare outcomes globally.”

By maximizing the power of Flywheel, Azure, and NVIDIA, the company says users can accelerate model development by freeing up data preparation time, enabling the reproducibility of AI models, and facilitating collaboration between medical researchers, data scientists, and their stakeholders.

Users will also 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.

“Flywheel's expertise in medical imaging, combined with the power and scale of Azure, along with the advanced imaging analytics capabilities of mPower, is ushering in a new era of healthcare innovation," said Peter Durlach, corporate vice president, of health and life sciences at Microsoft.

"Our partnership is geared towards a future where Flywheel's platform combined with Microsoft’s cloud and AI capabilities will help transform patient care through accelerated discovery and AI-driven insights.” 

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