Products

ChestLink is the first fully autonomous AI medical imaging product with a CE mark. ChestLink identifies CXRs with no abnormality and produces finalized patient reports without any intervention from ...

The AI tool is designed to detects pneumonia from the CT scan and provide the volume and occupation of lesions. Built-in is 3D VR and MPR calculation of lesions. The product also allows for ...

The AI tool is capable of detecting lung nodules in CT scans. Classification (solid, partial solid, ground glass, calcification) and risk prediction (benign, malignant) on each nodule are provided.

This AI tool is designed to support radiologists in diagnosing tuberculosis from X-ray chest scans. It features automatic batch operation for efficient processing, identifies the affected regions by ...

Rayscape's Lung CT solution helps radiologists identify lung nodules that have a diameter between 3-30 mm. The algorithms highlight the presence of nodules on each slice and, separately, measures the ...

ClariPulmo is an AI-powered tri-functional solution for lung CT images. Our deep learning model provides quantitative analysis of low-attenuation and high-attenuation lesions. In combination with ...

To detect COVID-19 related abnormalities in frontal chest X-rays, Delft Imaging and Thirona developed CAD4COVID-XRay. This computer-aided detection software takes a single chest X-ray as its input, ...

Viz AORTIC provides automatic detection of suspected abdominal aortic aneurysm and aortic dissection.

Rayscape CXR solution identifies a total of 148 findings on chest x-rays that are further on grouped into 17 main classes.The Rayscape’s algorithms show their location on the x-ray scan and provide ...

IMedis Duali-Q aims to optimize the QA process by performing automatic QA on every CT scan and accompanying report to uncover actionable failure points, helping to enhance radiology performance, ...

ClearRead Compare is an image registration and enhancement application that accentuates interval change between current and prior chest X-ray exams by forming a subtraction image.