US-based medical imaging artificial intelligence (AI) platform, Flywheel has entered a partnership with Microsoft and NVIDA to launch its software-as-a-service (SaaS) data management solution.
Operational since 2015, Flywheel’s SaaS has levelled up its medical imaging research and facilitates accelerated processes to prepare and train data for AI model developments. The medical imaging research aims to support life sciences companies, research institutions, and healthcare providers.
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According to , the global medical imaging market size was valued at $36.19 billion in 2020 and is expected to grow to $56.53 billion in 2028 at a compound annual growth rate (CAGR) of 5.8% in the period of 2021 to 2028.
Dr. Richard Bruce, Associate Professor of Radiology and Radiology Vice Chair of Informatics at the University of Wisconsin School of Medicine and Public Health said: 鈥淲e 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.鈥�
Trent Norris, Chief Revenue Officer at Flywheel, said: 鈥淭he synergy between Microsoft Azure Machine Learning, NVIDIA MONAI and Microsoft鈥檚 advanced services creates a robust platform that is integral to our mission. This unified approach is not just about technology. It鈥檚 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.鈥�
Peter Durlach, Corporate Vice President, Health & Life Sciences at Microsoft also praised the team up. He commented: 鈥淔lywheel’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,”.
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By GlobalDataIn July 2022 Flywheel launched two new products, to its suite allowing researchers to speed up clinical trials, discover patient cohorts and analyse data sets.
