Find the artificial intelligence based software for radiology that you are looking for. All products listed are available for the European market (CE marked).
219/219 results
Fracture detection
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.
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. DeepHealth Lung Check (previously Saige Lung and Veye Lung Nodules by Aidence) integrates into the PACS and is currently in use ...
MRI scan acceleration, MRI image enhancement
SwiftMR aims to accelerate MRI scans by up to 50% by enhancing low-quality initial outputs from accelerated scans. The deep-learning model improves SNR and resolution of MRI inputs, irrespective of ...
Vertebral labeling of thoracic and lumbar spine, vertebral fracture detection on subject and ...
IB Lab FLAMINGO provides detection and labeling of vertebral fractures on a variety of CT imaging indications. The software provides prompt detection of vertebral fractures as secondary radiological ...
Iron concentration quantification, fat-fraction quantification, R2* quantification, liver volume ...
Brain lesion detection, volume quantification
Jazz is software for the digitalization of radiological findings, with quantitative single lesion tracking. Jazz is aimed at improving the assessment of the evolution of complex brain pathologies ...
Radiologic abnormal finding detection, textual report generation, worklist prioritisation
Carebot AI CXR is a deep learning-based decision support software that assists radiologists in interpreting chest X-ray images in AP/PA projection. It serves as a secondary reader of seven key ...
Brain segmentation, volume calculation, white matter hyperintensities quantification
QP-Brain is a medical image processing application intended for automatic labeling and volumetric quantification of segmentable brain structures and White matter hyperintensities (WMH) from a set of ...
Detection, quantification and grading of amyloid-related imaging abnormalities
The AI-based brain MRI solution allows for the automated detection and quantification of both ARIA-E (edema/sulcal effusion) and ARIA-H (hemorrhage/superficial siderosis). Using a unique longitudinal neural network, the baseline MRI is compared ...
Volume of core and perfusion lesion, mismatch ratio, perfusion maps, AIF/VOF graph
icobrain cva allows the automated quantitative assessment of tissue perfusion by: - reporting the volume of core and perfusion lesion by quantifying Tmax abnormality and CBF abnormality together with ...
Brain structure segmentation and volume quantification, multiple time-point analysis, white matter ...
Brain Health (previously Saige Brain and Quantib® ND) offers automated segmentation of brain structures and white matter hyperintensities. This machine learning radiology application provides insight into the possible presence of atrophy related ...
Breast cancer detection, abnormality score, 3D slice(s) selection showing the suspicious lesion(s)
Lunit INSIGHT DBT analyses 3D images from DBT to support diagnosis of breast cancer. Lunit INSIGHT DBT presents the 3D slice(s) on which a suspicious lesion(s) is best shown.