Find the artificial intelligence based software for radiology that you are looking for.
All products listed are available for the European market (CE marked).
AZmed has developed Rayvolve, an AI software that detects bone lesions on standard radiographs. Rayvolve is a SaaS product and is integrated into the radiologist's workflow.
Detection of fractures, effusions, dislocations and bone lesions, worklist prioritization
BoneView is an AI Companion for lesion detection on Bone X-Rays. BoneView can detect fractures, effusions, dislocations and bone lesions, and gives 3 different pre-diagnosis labels on the images: - ...
Radiologic finding detection, abnormality score, text interpretation
Lunit INSIGHT CXR is deep learning based software that assists radiologists or clinicians in the interpretation of chest x-ray (PA/AP). The AI solution automatically detects 10 radiologic findings ...
Trabecular Bone Score (TBS) calculation, fracture risk assessment (BMD T-score & FRAX adjusted with ...
TBS iNsight (Osteo) is a product by Medimaps Group that predicts a patient’s risk for bone fracture to aid therapy decision and patient management. TBS iNsight (Osteo) is aimed at the departments of ...
Joint space narrowing, osteophytes, osteoarthritis grading
RBknee can automatically detect findings relevant for radiographic osteoarthritis, and provide a secondary capture and a structured text report with findings and conclusion.
Improved visibility of lines and tubes
ClearRead XRay identifies and highlights lines and tubes on portable chest X-ray images.
Lung nodule detection of nodules of 9 to 30 mm in size
ClearRead Detect identifies regions-of-interest on the bone suppressed soft tissue image that may be early-stage lung cancer.
Multiple time-point analysis
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.
ClearRead Bone Suppress removes ribs and clavicles from a standard chest X-ray, providing a soft tissue image, allowing clinicians to see more.