
| Company Name | GLEAMER |
| Founded | 2017 |
| Head office | Paris, France |
| Website | http://www.gleamer.ai/ |
| Contact | contact@gleamer.ai |
Detection of fractures, Dislocations and bone lesions, Effusions, Worklist prioritization
BoneView detects fractures, effusions, dislocations and bone lesions, and gives 3 different pre-diagnosis labels on the images: - POSITIVE when the confidence for the presence of a lesion is above 90% (plain bounding box around the region of interest) - DOUBT when the confidence for the presence of a lesion is between 50% and 90% (dotted bounding box around the region of interest) - NEGATIVE otherwise BoneView provides a summary table for quality check and overview of AI outputs at a glance, and can perform worklist prioritization according to the different pre-diagnoses. *In the United States, BoneView has been 510k FDA-cleared for pediatric use and adults (>2 years old for limbs).
And legs, Automated measurements of spine, Feet, Pelvis
BoneMetrics provides automated MSK measurements for the spine, pelvis, feet, shoulder, knee and legs, on X-ray and EOS acquisitions.
Consolidation, Detection and localization of pneumothorax, Mediastinal or hilar mass, Nodule, Pleural effusion, Triage, Worklist prioritization
ChestView detects and localizes lesions on Chest X-rays. It is designed to assist radiologists and clinicians in triaging cases and increasing diagnostic performances by highlighting regions of interest with a plain box (> 90% confidence) or a dotted box (50-90% confidence) and providing a summary table.