Find the artificial intelligence based software for radiology that you are looking for. All products listed are available for the European market (CE marked).
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Subspeciality: Chest
Modality: X-ray
Source: Vendor
Identifying missed clinical significant findings, Quality assurance
ChestEye Quality is an automatic Quality Assurance (QA) chest X-ray solution. It automatically double-reads all chest x-rays, by analyzing radiologists' reports and comparing them with AI analysis of the studies. If ChestEye Quality identifies possible False Negative (FN) made by radiologists, it highlights the cases for the final review for the radiologists. ChestEye Quality goal is to improve the reporting accuracy of the radiologist and act as a safety net to avoid any possible FN for the radiologists.
Subspeciality: Chest
Modality: X-ray
Source: Vendor
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 the radiologist, reducing radiologist workload and enabling them to focus on cases with pathologies.
Subspeciality: Chest
Modality: CT
Source: Vendor
Nodule detection, Report generation according to guidelines, Segmentation and quantification, Temporal registration and nodule comparison
Veolity LungRead is a reading solution dedicated to lung screening programs as well as incidental pulmonary nodule management. It combines lung CAD of solid, non-solid, part-solid, and calcified pulmonary nodules, automatic nodule type classification, volumetric nodule quantification, interactive temporal comparison and nodule tracking, and creates a guideline-compliant report. Veolity supports reporting according to Lung-RADS, BTS Guidelines, BC Lung Screening Protocol incl. Nodule Malignancy Risk Estimation (according to the Brock model).
Veolity's AI automatically marks regions that are suggestive of pulmonary nodules to identify regions that demand further analysis and may have been previously overlooked by the human eye.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
3d slice(s) selection showing the suspicious lesion(s), Abnormality score, Breast cancer detection
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.
Subspeciality: Cardiac, Chest
Modality: CT
Source: Vendor
CE
FDA
RV/LV ratio, Ventricle diameter quantification
RV/LV ratio can inform a physician on the severity of a Pulmonary Embolism by comparing the diameters of the right and left ventricles of the heart.
Subspeciality: Chest
Modality: CT
Source: Vendor
Fibrotic condition identification, Percentage of lung affected, Report generation, Volume quantification
Lung Texture Analysis ™ from Imbio automatically applies computer vision to transform a standard chest CT into a map of the lung textures to identify ILD's and other fibrotic conditions (normal, ground glass, reticular, honeycomb and hyperlucent). LTA's DICOM image series provides a texture overlay on the patient scan to highlight abnormalities and increase diagnostic confidence. LTA's physician summary report provides quantification of the textures by lung region.
Subspeciality: MSK
Modality: CT
Source: Vendor
Vertebral fracture detection on subject and vertebral level (absence/presence), Vertebral labeling of thoracic and lumbar spine
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 findings. Furthermore, IB Lab FLAMINGO enables standardized detection of vertebral fractures as secondary radiological findings.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
AP/PA full spine, Bracing support, Calibration ball support, Cobb angle, Coronal balance, Metalwork detection, Spinal alignment, Vertebral detection/labeling
IB Lab SQUIRREL is a radiological image processing software that aims to support physicians in the assessment of spinal morphology and scoliosis evaluation using frontal radiographs of the spine, particularly for the purpose of scoliosis assessment and disease progression. The algorithm is triggered automatically by a scoliosis study and returns relevant scoliosis parameters like the patient's Cobb angle and the Coronal Balance. The findings are summarized in a visual output report, attached to the original x-ray image and saved automatically in the PACS system.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
12 radiological findings and measurements: genu varum, AMA angle, Anatomical angles according to paley, Femur length, Genu valgum, Hip knee angle, Joint line convergence angle, Lower extremity length discrepancy, Mechanical angles according to paley, Mechanical axis deviation (mad), Tibia length
IB Lab's diagnostic support tool LAMA uses deep learning technology for automated measuring of leg geometry to evaluate lower limb deformities, such as leg or lower extremity length discrepancy and knee alignment deformities.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
10 radiological findings and measurements: lce-angle, Acetabular dysplasia, CCD-angle, Coxa valga, Coxa vara, Extrusion index/femoroacetabular coverage, Femoroacetabular impingement, Pelvic obliquity/leg length difference. for acetabular coverage measurements: tönnis angle, Sharp angle
HIPPO supports the objective and standardized measurement of the most important hip angles based on digital x-rays. These include, for example, the CCD and LCE angles as well as numerous other relevant angles for the diagnosis of hip disease including hip arthritis and hip dysplasia.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Bone age estimation, Growth Potential
PANDA sofware provides an automated method to estimate pediatric bone age, monitor child growth and development from digital X-rays of the hand.