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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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.
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.
MRI image enhancement, Nodule detection
GadoBoost AI virtually enhances contrast uptake in T1-weighted 3D brain MRI scans and automatically detects contrast-enhancing lesions. It is particularly designed for scenarios where subtle findings need to be identified, such as follow-up examinations of patients with cancers that commonly metastasize to the brain. By increasing the conspicuity of subtle enhancing findings and supporting radiologists with automated detection, GadoBoost AI aims to improve confidence during routine assessment of potentially negative examinations.
Intracranial hemorrhage detection, Volume quantification
hStroke_Suite CT Module is an AI-powered solution specifically designed for emergency neuroimaging with a focus on head CT scans. It enables rapid and accurate detection of intracranial hemorrhages, aiming to support faster diagnosis and timely intervention.