Using only the smartest deep convolutional neural networks and Deep Learning innovations, you can now access the diagnostic information you need to put your patients on the path to a more tailored treatment approach.
Advanced intelligent Clear-IQ Engine (AiCE)
Harness the incredible power of AiCE
Canon Medical’s Advanced intelligent Clear-IQ Engine is an innovative Deep Learning Reconstruction technology that’s been trained to reduce noise and boost signal to deliver sharp, clear and distinct images at speed.
Bringing an additional layer of intelligence to our Collaborative imaging offering, Automation Platform is an AI-based, zero-click solution that uses deep learning technology to streamline your workflow for fast, actionable results every time. From scanner to clinical decision, you’ll be supported by leading-edge deep learning technologies that process and deliver images for accurate triage, worklist prioritization and treatment decisions.
The Aquilion ONE / PRISM Edition harnesses the temporal benefits of rapid kV switching with patient specific mA modulation and combines them with a Deep Learning reconstruction that delivers excellent energy separation and low-noise properties.
Images can be delivered directly to your reading station, and with our range of new Vitrea™ applications, you can easily analyze comprehensive spectral data, including quantification and multi-layered images for a more detailed and definitive diagnosis.
As a strategic partner of Canon Medical, Delft Imaging Systems has been set up to create Deep Learning innovations that help physicians diagnose and treat Tuberculosis (TB) in developing countries. Together with our subsidiary Oldelft Benelux BV, Canon Medical is providing complete TB screening solutions that responds to the specific needs of vulnerable communities around the world.
How it works:
Trained to detect TB pathology, such as diffuse textural patterns, focal patterns, and pleural-related abnormalities, CAD4TB scans patients and provides clinicians with a score that indicates the likelihood of infection.
So far, we have been able to screen and provide life-saving care to more than three million people around the world – all thanks to the ongoing development of AI-assisted solutions.