Find the artificial intelligence based software for radiology that you are looking for. All products listed are available for the European market (CE marked).
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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Automated nodule recognition, Quantification and visualization of sonographic features, Risk analysis based on global guidelines
AmCAD-UT® Detection gives physicians a tool to process ultrasound images for sonographic characteristics that assist in making diagnostic decisions. AmCAD-UT® Detection uses statistical pattern recognition and quantification methods to perform analytical processing of images. By processing the image for key characteristics (i.e., echogenic foci, echogenicity, texture, margin, anechoic areas, height/width ratio, nodule shape, and nodule size). AmCAD-UT® Detection provides physicians with quantification and visualization of the sonographic characteristics for informed decision making.
Brain volume change, Report generation, White matter abnormality quantification
icobrain ms helps physicians assess (sub)clinical disease activity in patients with multiple sclerosis. icobrain ms allows for the objective assessment of lesion dissemination in space and time by: - Quantifying and tracking FLAIR WM hyperintensities and T1 WM hypointensities icobrain ms provides measures of brain volume changes by: - Tracking annualized brain volume changes for whole brain and gray matter - Comparing brain volumes and volume changes to an age-and gender-matched reference population.
Biliary system segmentation, Width and volume quantification
MRCP+ allows existing MRCP data to be enhanced and quantitatively characterized using image processing techniques. The technology can enhance the data from conventional MRCP without needing to inject contrast agent, enabling 3D visualization of ducts. MRCP+ calculates quantitative 3D biliary system models that enable measurement of bile duct widths and automatic detection of regions of variation of duct widths. MRCP+ includes tools for interactive segmentation and labelling of the biliary system and structures. It allows for regional volumetric analysis of the biliary tree, pancreatic duct, and gallbladder.
AI independent risk assessment, Alignment to diagnostic classification systems, Auto-population of lesion/nodule descriptors, Lesion/nodule classification, Lesion/nodule segmentation
Koios DS is a software application designed to assist trained interpreting physicians in analyzing breast and thyroid ultrasound images. Koios DS software automatically classifies breast lesions suspicious for cancer based on image data into one of four ACR BI-RADS or European U1-U5 Classification System-aligned categories. Koios DS also categorizes thyroid nodules via the ACR TI-RADS or American Thyroid Association (ATA) risk stratification systems (RSSs) along with a cancer risk assessment presented as the Koios "AI Adapter."
Notification, Prioritisation, Pulmonary embolism triage
Aidoc's pulmonary embolism algorithm is a triage algorithm that alerts clinicians to the presence of one or more suspected pulmonary embolisms that are massive (high-risk), sub-massive (intermediate-risk) or low-risk acute pulmonary embolisms in all segments (central, lobar, segmental, sub-segmental). This algorithm is run on contrast enhanced CTs that are ordered for indications of a suspected pulmonary embolism.
BI-RADS, BI-RADS breast density category, Breast density quantification
Volpara is a software application intended for use with digital breast x-ray systems, including tomosynthesis. Volpara calculates and quantifies volumetric breast density as a ratio of fibroglandular tissue and total breast volume estimates. Volpara provides these numerical values along with a BI-RADS breast density 4th or 5th Edition category to aid health care professionals in the assessment of breast tissue composition.
Brain change data, Brain region quantification (75 structures), Custom report options, Dynamic atlas, Normative data comparisons
NeuroQuant® is a fully automated advanced imaging software that provides segmentation and quantification from brain MRI, revealing various biomarkers. Values are compared to a unique normative database of patients of the same age and sex and similar intracranial volume to aid in making clinical decisions regarding neurodegenerative diseases.
Agatston, Arterial age, Automatic segmentation, CAC score per branch, Mass score, Volume
Cononary Artery Calcium Scoring
Abnormal lung region mapping, Lung density quantification, Report generation
Lung Density Analysis™ applies big data analysis to paired inspiratory / expiratory chest CT studies to provide visualization and quantification of lung regions with abnormal tissue density. Functional LDA is an automated image analysis providing a mapping of normal lung, air-trapping and areas of persistent low density (< -950 HU, which may be indicative of emphysema in a combined image to help visualize the components of COPD. LDA provides a full 3D DICOM series with density overlays and a quantitative report of density categories by lung region.