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: MSK
Modality: X-ray
Source: Vendor
Fracture detection
AZtrauma is a computer-assisted detection and diagnosis (CAD) software device to assist radiologists and emergency physicians in detecting fractures during the review of radiographs of the musculoskeletal system for ankle, clavicle, elbow, forearm, hip, humerus, knee, pelvis, shoulder, tibia, fibula, wrist, hand, foot.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Breast density classification (ACR BI-RADS), Lesion and microcalcification detection, Population summary dashboard, Real time image quality assessment
Stand-alone AI system for assessment of mammographic breast density, real-time evaluation of image quality, lesion detection and mechanism for personalized suggestion of supplemental diagnostics.
Subspeciality: Chest
Modality: CT
Source: Vendor
CAC-score, Emphysema score, Lung-RADS score, Nodule classification, Nodule detection, Nodule volume quantification, VDT
The LCS+ software from Coreline Soft provides information on the 3 main lung diseases: lung cancer, COPD and coronary artery calcification based on a Low Dose, non-enhanced, non-gated CT-scan
Subspeciality: Neuro
Modality: MR
Source: Vendor
Real-time results enabling mr protocol adaptation, Vizualization of criticial brain pathology candidate findings
Cerebriu has developed Apollo, a protocol technology aimed at optimizing brain MRI scan acquisition and patient management. It exists of MR Smart Protocol and MR Smart Alert. MR Smart Protocol analyses an initial abbreviated set of images and suggests the most appropriate next sequences based on initial findings. MR Smart Alert detects critical finding at the earliest stages of the MRI examination for the prioritization of radiological review and notification of critical findings to the care team.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Detection of fractures, Dislocations and bone lesions, Effusions, Worklist prioritization
BoneView detects fractures, effusions, dislocations and bone lesions, and gives 3 different pre-diagnosis labels on the images: - POSITIVE when the confidence for the presence of a lesion is above 90% (plain bounding box around the region of interest) - DOUBT when the confidence for the presence of a lesion is between 50% and 90% (dotted bounding box around the region of interest) - NEGATIVE otherwise BoneView provides a summary table for quality check and overview of AI outputs at a glance, and can perform worklist prioritization according to the different pre-diagnoses. *In the United States, BoneView has been 510k FDA-cleared for pediatric use and adults (>2 years old for limbs).
Subspeciality: Multiple
Modality: MR
Source: Vendor
CE
FDA
MRI image enhancement, MRI scan acceleration
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 body part or vendor type. Operating in DICOM format, SwiftMR receives assigned scans from connected MRIs and dispatches results to PACS. Installable via cloud or on-premise. *Product coverage and supported types may vary by region depending on regulatory status.
Subspeciality: Neuro
Modality: CT
Source: Vendor
Brain pathology detection, Hemorrhage detection, Localization of pathology
BrainScan CT is an advanced AI-powered radiology tool that analyzes brain CT scans, automatically detecting and highlighting pathological changes. It identifies and classifies 30 key brain pathologies – covering over 90% of findings in non-contrast CT imaging – with an average accuracy of 95% and up to 99% for hemorrhages. Trained on a diverse dataset of 350,000 scans, BrainScan delivers fast, reliable results in seconds, presented in an intuitive infographic format. The system supports both cloud and on-premise deployment, integrates with any PACS or DICOM viewer, and works in any language – offering hospitals a simple, scalable AI solution for neuroimaging.
Subspeciality: Breast, Thyroid
Modality: Ultrasound
Source: Vendor
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."
Subspeciality: Chest
Modality: CT
Source: Vendor
Agatston, Arterial age, Automatic segmentation, CAC score per branch, Mass score, Volume
Cononary Artery Calcium Scoring
Subspeciality: MSK
Modality: X-ray
Source: Vendor
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.
Subspeciality: Chest
Modality: CT
Source: Vendor
Air Trapping, Airway Measurements, Emphysema, Fissure Integrity, Low Attenuation Analysis (LAA), Lung lobe segmentation, Pulmonary Vessels., Vessel Analysis
AVIEW COPD gives COPD information based on a non-enhanced CT-scan of the thorax. Evaluation includes segmentation of lungs and lung lobes, low attenuation analysis, emphysema, vessel analysis, fissure integrity, air trapping, and airway measurements.