Find the artificial intelligence based software for radiology that you are looking for. All products listed are available for the European market (CE marked).
214/214 results
Perfusion mismatch mapping, notification, CBF, CBV, MTT, TMax calculations
Viz CTP uses advanced imaging technology to automatically analyze CT perfusion images of the brain, produce parametric color maps, and calculate CT perfusion parameters.
Detection of suspected intracranial hemorrhages.
Large vessel occlusion detection, notification
Viz LVO uses artificial intelligence to automatically identify suspected large vessel occlusion strokes on CT angiogram imaging in your network and to alert your on-call stroke team within minutes.
Pulmonary embolism detection, notification, RV/LV ratio
Breast density quantification, BI-RADS, BI-RADS breast density category
Volpara is a software application intended for use with digital breast x-ray systems, including tomosynthesis. Volpara calculates and quantifies volumetric breast density as a ratio of fibroglandular ...
Bone age assessment, Automatic report generation
It assists bone age assessment based on a child’s hand X-ray image. A customized report of bone age assessment is automatically generated.
Abnormality detection
VUNO Med® Chest X-Ray™ is a deep learning-based screening solution for five major lung diseases - Nodule/Mass, Consolidation, Interstitial Opacity, Pneumothorax, Pleural Effusion - on chest X-ray ...
Brain parcellation, Atrophy quantification
It parcellates the brain into 100+ parts using 3D T1 non-contrast MRI and provides quantitative data describing volume, normative percentiles, and cortical thickness with color overlays. The solution ...
Nodule detection, Nodule measurement, Nodule classification, Lung-RADS reporting
It detects and quantifies pulmonary nodules, providing size, volume, nodule type, location, calcification, and spiculation. An automatic report based on the calculated Lung-RADS category is produced ...
Flagging of 15 chest abnormalities
X1 is a medical device that uses deep learning to analyze chest x-rays, flagging those images that are suggestive of the presence of one or more of 15 pre-specified findings. It is PACS agnostic and ...