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Philips Launches IntelliSpace Discovery Research Platform at RSNA to Support the Development and Deployment of Artificial Intelligence Assets in Radiology

Powered by Philips Healthsuite, Open Platform Offers Radiologists Comprehensive Data Analytics in Medical Imaging

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Ahead of the 2018 Radiological Society of North America Annual Meeting (RSNA), Royal Philips , a global leader in health technology, announced the introduction of IntelliSpace Discovery 3.0, a comprehensive, open platform to enable the development and deployment of Artificial Intelligence assets in radiology with the aim to support radiologists in their clinical and translational research.

Solutions that leverage AI have the potential to improve patient care and increase the efficiency of care delivery. However, there are challenges when it comes to introducing AI into healthcare clinical practice. Health systems are consistently faced with questions on how to collect and prepare high quality data, which methods of training and validating the tools are most appropriate, and how to deploy AI without disruption. Philips combines AI and other technologies with knowledge of the clinical and operational context in which they are used a people-centered approach called ‘adaptive intelligence‘ to develop integrated solutions that adapt to the needs of healthcare providers.

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AI for Radiology
IntelliSpace Discovery is already a proven research platform, used by more than 50 hospitals and academic institutions worldwide, for the development of radiology applications for rendering, segmentation, and quantification. For example, it is being used for research and clinical validation and subsequently the tools/applications can be deployed into the radiology workflow on the Philips IntelliSpace Portal [1]. With the introduction of IntelliSpace Discovery 3.0 the platform now provides research applications and tools for radiologists to aggregate, normalize and anonymize data, which can be visualized and annotated to ‘train’ and validate deep learning algorithms. They can then easily deploy these algorithms as plug-in apps into the research workflow to analyze new datasets and help facilitate clinical research in radiology, oncology, neurology and cardiology.

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“Together with our customers we’re enabling research in adaptive intelligence with the goal to create solutions that augment healthcare professionals and improve patient care and efficiencies of care delivery, both inside and outside of the hospital,” said Jeroen Tas, Chief Innovation & Strategy Officer, Philips. “AI is the connective tissue to seamlessly integrate data and technology to enable precision diagnosis. At RSNA 2018 we’re showing how AI is laying the foundations for solutions of the future.”

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