The new version of the platform utilizes machine learning to aid operating radiologists in detecting, diagnosing and following-up on treatment for diseases and traumas, such as brain juries and neurological disorders including dementia, stroke, amyotrophic lateral sclerosis and multiple sclerosis.
“As the rates of dementia and neurodegeneration rise, neuroradiologists need advanced tools to help referring physicians treat these challenging cases. IntelliSpace Portal 9.0 offers a comprehensive set of robust tools so neuroradiologists can quantify disease expediently,” Dr. Leo Wolansky of University Hospitals Cleveland Medical Center said in a prepared release.
The new version of the IntelliSpace platform also includes longitudinal brain imaging to support the evaluation of neurological disorders over time, to aid in the monitoring of disease progression. The upgraded platform also includes the NeuroQuant measurement application for quantifying brain volume loss, Philips said.
“Radiology has a unique ability to influence and improve outcomes, and intelligent tools enable us to empower radiologists with the right information. With advances in machine learning, IntelliSpace Portal 9.0 will now be able to continually learn the usage patterns of users to enhance the important daily functions of a radiologist such as pre-preprocessing of images, encouraging faster and more streamlined diagnosis,” Philips Healthcare IT GM Yair Briman said in a press release.
Earlier this month, Philips launched its IQon spectral CT in Canada, touting it as the world’s 1st and only spectral CT scanner designed specifically for spectral imaging.
The company’s newly released device is designed to provide multiple layers of retrospective, diagnostic data through a single, low-dose scan.
Philips said its IQon spectral CT adds spectral resoltuion to traditional CT scans through a dual-layer spectral detector designed to identify photons of high energy and low energy simultaneously.
The post Philips launches Intellispace Portal 9.0 radiological visual analysis & quantification platform appeared first on MassDevice.
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