Products
Find the artificial intelligence based software for radiology that you are looking for.
All products listed are available for the European market (CE marked).
7/220 results
Nodule detection, nodule classification, volume quantification, growth calculation (prior study ...
This AI assistant supports radiologists with detecting, classifying and tracking the growth of pulmonary nodules. Veye Lung Nodules integrates into the PACS and is currently in use across Europe in ...
Autonomous healthy patients report generation
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 ...
Lung nodule detection, emphysema detection
qCT-Lung aids lung cancer screening programs and facilitates opportunistic screening using AI. It provides pre-read assistance to clinicians by detecting lung nodules & emphysema.
Abnormality detection and localization, report generation, tuberculosis screening, worklist ...
qXR detects abnormal chest X-rays, then identifies and localizes upto 29 common abnormalities. It also screens for tuberculosis. **In the US, FDA 510(k) clearance only for facilitating confirmation ...
Abnormal classification, abnormality detection, quantification analysis
SenseCare Chest X-ray solution helps doctors screen out suspected cases of various diseases from chest X-ray images. It automatically provides the location and analysis of lesions.
Lung nodule detection, nodule type classification (solid, GGO etc.), pneumonia detection, key ...
SenseCare Lung CT automatically detects pulmonary nodules and pneumonia (including COVID-19) lesions and provides analysis such as lesion classification, risk evaluation, quantification, and ...
Tuberculosis risk score, heatmap of abnormality score
To detect tuberculosis-related abnormalities in posterior anterior chest X-rays, Thirona developed CAD4TBâ„¢. This computer-aided detection software takes a single chest X-ray as its input, in the form ...