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: Abdomen
Modality: MR
Source: Vendor
Automated comparison to earlier examinations., Automated segmentation of the prostate with volume calculation, Classification of lesions according to pi-rads 2.1 and determination of relevant parameters (e.g., Detection and evaluation of suspicious lesions, EPE, Extent, Index lesion)
mdprostate enables AI-based static and longitudinal evaluations of prostate MRIs through automatic identification and classification of lesions according to PI-RADS 2.1. The output includes quantitative reports and visual overlays directly integrated into the PACS, with all relevant lesions marked on a sector map.
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: Neuro
Modality: CT
Source: Vendor
Collateral assessment, Report generation, Vessel occlusion detection
e-CTA is a decision support software that uses algorithms, artificial intelligence and data analytics to automatically detect LVO and standardize the assessment of collaterals on CT angiography. e-CTA supports single and multi-phase CTA and fully automates the CTA-CS collateral score supported by a color heat-map representing the difference in collaterals between hemispheres. e-CTA estimates phases of CTA image from automatic arterial input and venous output, and provides visualization of major vessels and the location of any detected LVO.
Subspeciality: Multiple
Modality: CT
Source: Vendor
CT Image denoising for any body part
ClariCT.AI is an AI-powered CT image denoising solution to provide increased image clarity in CT examinations with excessive image noise due to either low dose or large patient. It is trained to work in a vendor-agnostic way, to reduce noise and enhance image quality for low-dose and ultra-low-dose DICOM CT images. ClariCT.AI separates image noise selectively while enhancing underlying structures; thus, providing clarity restored images.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Automatic , Opportunistic, Risk score
Rho is a screening tool that analyzes frontal radiographs of the lumbar spine, thoracic spine, chest, pelvis, knee, or hand performed for any clinical indication in patients aged 50 years and older. The algorithm was developed using machine learning to generate a risk score that correlates with a patient's likelihood of having low bone mineral density.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Editable report, Fracture risk assessment (bmd t-score & frax adjusted with tbs), Trabecular Bone Score (TBS) calculation
TBS Osteo is an AI-ready technology and software powered by TBS iNsight to evaluate bone microarchitecture in patients during a DXA bone densitometry scan. It aims to identify more patients at risk of fracture.
Subspeciality: Neuro
Modality: MR
Source: Vendor
CE
FDA
Disease activity, Image annotation, Lesional volume quantification, Lesion classification, Lesion quantification, Longitudinal analysis, McDonald MRI criteria
Pixyl.Neuro.MS integrates into the routine workflow, to extract pertinent information on the size and location of Multiple Sclerosis (MS)-specific lesions, aimed at supporting the diagnosis and monitoring of patients. In case of multiple visits, the longitudinal analysis also provides data on the evolution of the lesions, and therefore on the activity of the disease with respect to diagnostic criteria. The software outputs both a quantitative report on lesion location, volume and evolution, as well as annotated MRI images with lesions labeled according to their evolution.
Subspeciality: Cardiac
Modality: Ultrasound
Source: Vendor
CE
FDA
Automated segmentation, Risk prediction
Outcomes-based AI system that predicts coronary artery disease.
Subspeciality: Thyroid
Modality: Ultrasound
Source: Vendor
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.
Subspeciality: Neuro
Modality: MR
Source: Vendor
CE
FDA
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.