Medical Image Analytics to Reduce the Treatment Time

18 May 2018

Medical image analytics is one of the significant advancements of the healthcare IT Technology. Medical image analytics enable clinicians to manage images, analyze and interpret them efficiently and effectively. According to the latest market intelligence report by BIS Research titled, ‘Global Medical Image Analytics Market- Analysis and Forecast (2017-2025), North America accounted for the highest market share in 2016. Medical image analytics cater to the various end-users such as hospitals and diagnostics centers, among others. The diagnostic centers' segment is growing at a significant growth of 8.8% during the forecast period.        

In May 2018, in a press release, Red Hat Inc., the world’s leading provider of open source solution, announced a strategic collaboration with Boston’s Children Hospital. The objective of the partnership is to deploy the ChRIS Integration Service, a web-based medical image platform, developed using Red Hat Technologies, on the Massachusetts Open Cloud (MOC). The technology will enable the sharing of critical data through real-time collaborations, that can lead to quicker and more accurate diagnosis of diseases.

In May 2018, GE Healthcare and Agency for Science, Technology, and Research (A * Star) announced their partnership to develop new digital technologies for the Asia-Pacific and U.S. healthcare market. The developed technologies include a diagnostic imaging system for Parkinson’s disease and advanced capabilities for surgery motion tracking. The developed technologies improve image reconstruction algorithm in CT scans to reduce image distortion and provide higher quality scanned images.1        

In March 2018, Luxendo, a Bruker company, announced about their recent extension of the InVi SPIM (Single Plane Illumination Microscopy) to include full incubation capabilities, as well as flexible illumination and detection optics. The new technology enables the faster scan speed for volumetric imaging of small organisms, cell monolayers, and cleared tissue. InVi SPIM light-sheet microscope is majorly used to image breast tumor organoids derived from a primary mammary epithelial cell.2    

The global market for medical image analytics can be segmented by image modalities into mammography, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound and radiographic X-ray, among others. The ultrasound segment held the highest market share in 2016 owing to their rising adoption across the globe. GE Healthcare, Agfa Healthcare, Philips Healthcare, CARESTREAM Health, Neusoft Medical, and Miranda Medical Ltd. are some of the prominent market players in the medical image analytics market.  


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