The AI-supported application BoneAge reduces both inter- and intra-variability.
Compared to the pediatric radiologist’s gold standard, the algorithm demonstrates utmost accuracy.
This is confirmed by Gleamers clinical study.
More than 70% of the conducted chest X-rays are classified as normal.
ChestView promotes prioritization through a unique design that combines essential findings with high sensitivity, thereby assisting in patient triage.
Decision-making is expedited and precise, supported by a clear and succinct summary table that is immediately available.
A Quality Control tool for x-ray laterality markers, with use cases for Radiologists, Team Leaders and Quality Management Officers
The interpretation of cardiac magnetic resonance imaging (CMR) using artificial intelligence.
Automatically detects and reports major cardiac and pulmonary abnormalities on X-rays.
AZmeasure delivers automated characterization of osteo-articular geometries, including lengths and angular positions.
