Automation Platform
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Automation Platform The right insights. Accelerated by AI. Canon’s Automation Platform utilizes deep learning technology to provide valuable clinical applications in a zero-click workflow. The AP delivers fast, actionable results every time. Automation Platform streamlines workflows by automating post processing of images directly from the scanner and then automatically exporting the results in a format ready for interpretation by the care team.

Automation Platform Stroke solution CT Large Vessel Occlusion The zero-click applications in AUTOStroke solution, the first in a series of solutions designed to run on Canon Medical’s Automation Platform, automatically analyze images to fully characterize stroke conditions and provide instant information to emergency and stroke teams to aid in clinical evaluation and treatment. AUTO Stroke solution integrates a set of three stroke applications to ensure you get the most accurate representation of what’s going on with your patient. n Non-contrast CT Intracranial Hemorrhage (CINA® ICH) can...

Stroke solution Intracranial Hemorrhage The AUTOStroke Intracranial Hemorrhage (ICH) application utilizes deep learning algorithms to locate potential images in a data set which may show signs of an intracranial hemorrhage in non-contrast CT imaging. This application outputs DICOM data, highlighting images showing a potential ICH. The ICH application was developed using deep learning methods, training the algorithm on over 10000 positive and negative hemorrhage non-contrast CT data sets from a large variety of CT systems, in order to ensure a high level of sensitivity and specificity. Tests...

Suspected occlusion detected |r,foreran final purposes. only. Not for <lutgn<Hfir use The AUTOStroke Large Vessel Occlusion (LVO) application utilizes deep learning algorithms to identify large vessel occlusions in post-contrast CT imaging of cerebral infarction patients. The LVO application algorithms were trained on thousands of data sets from over 250 medical centers. Utilizing the deep learning application, the LVO application outputs DICOM data highlighting images which may show a potential LVO. The algorithm testing showed highly accurate results, with both sensitivity and specificity...

The AUTOStroke CT Brain Perfusion application utilizes Bayesian CTP+ algorithms to provide zero-click perfusion analysis in order to aid in the identification of areas of penumbra and infarct core in stroke patients. This deep-learning-powered application provides perfusion maps, angiographic maximum intensity projections, and a summary map showing potential areas of infarct core and penumbra. Key Features ■ Comprehensive image output -□ Streamlined workflow with automatic output of perfusion maps, MIP imaging and perfusion summary maps □ Automatic output of five parametric maps:...

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