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
Editable AI results (size, location, score), Global PI-RADS scoring, Lesion detection, quantification, and classification, Prostate gland segmentation and volumetric assessment, RTSS objects for TRUS-guided biopsy
AI-Rad Companion Prostate MR is an AI-powered post-processing software that supports prostate MRI interpretation and reporting. It enables automatic segmentation of the prostate gland and suspected lesions, quantitative analysis, and lesion classification from multiparametric MR images.
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: Neuro
Modality: CT
Source: Vendor
CBF, CBV, MTT, Notification, Perfusion mismatch mapping, TMax calculations
e-CTP module is designed to provide decision support for clinicians when assessing CT Perfusion results, generating summary maps with improved visualization quality to facilitate fast interpretation. Critical information is displayed over clear anatomical backgrounds, including: rCBF<30.0%, Tmax>6s, Mismatch Volume & Ratio, AIF / VOF MIP & AIF / VOF Curves, Hypoperfusion Intensity Ratio, Multi-Threshold Tmax
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Abnormality score, Breast cancer detection, Current-prior comparison, Density assessment, Lesion type
Lunit INSIGHT MMG is deep learning based software that assists radiologists in the interpretation of mammograms. The AI solution automatically detects suspicious areas for breast cancer on mammograms including mass, calcification, distortion and asymmetry. The analysis result contains (1) localization of suspicious areas in color or outline and (2) abnormality scores reflecting the probability that the detected area is malignant.
Subspeciality: Chest
Modality: CT
Source: Vendor
Coronary artery calcification, Heart, Lung lesions, Lung lobes, Segmentation and volume quantification of lungs, Thoracic aorta, Thoracic vertebrae; density quantification of lungs and vertebrae.
The AI-Rad Companion Chest CT solution offers a multiorgan approach with pulmonary, cardiovascular and musculoskeletal functionalities. Major functionalities: lung lobe segmentation, lung lesion detection (solid and sub-solid) and measurements (incl. longitudinal comparison), pneumonia analysis, heart segmentation and calcium detection, aorta segmentation and diameter measurements, as well as vertebra body segmentation and measurement.
Subspeciality: MSK
Modality: MR
Source: Vendor
CE
FDA
Radiation-free bone visualisation from MRI data
BoneMRI is a radiation free, AI-enabled and cloud based software delivering CT-like images through MRI scans of the spine and pelvis, with sub-millimeter quantitative equivalence to CT, for both adults and adolescents.
Subspeciality: Abdomen
Modality: MR
Source: Vendor
Intestinal motility scoring, Motility visualization
GIQuant is a post processing application which uses image registration to quantify motion in dynamic abdominal MR imaging data. GIQuant outputs a parametric map that can be used by physicians to obtain specialized measurements and perform advance analysis of the bowel wall. GIQuant is integrated within a DICOM compliant workflow server and the output can be viewed in standard 'off the shelf' DICOM viewers.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
BI-RADS A-D breast density classification, Breast lesion detection, DICOM structured report, Graphical DICOM overlays, Image-quality defect flags, Lesion localisation, Lesion risk scoring, PGMI mammography quality assurance, Worklist prioritisation
Carebot AI MMG is a deep learning-based decision support software that assists radiologists in interpreting standard 2D digital mammography screening examinations in women aged ≥18 years. It highlights suspected breast lesions or architectural distortion, assigns lesion/study risk scores, assesses breast density, performs quality assessment, and generates text and graphical DICOM outputs. The software is designed to be used with PACS and DICOM-compatible viewers
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: Abdomen
Modality: MR
Source: Vendor
Exporting results in rtss format, Lesion candidate localization and classification, Pre-populated pi-rads report, Prostate gland segmentation and volumetric assessment, Suspicion map highlighting the lesion candidates
Currently only available with Siemens Healthineers' syngo.via Siemens Healthineers Prostate MR on syngo.via supports prostate MRI reading and reporting. By deploying artificial intelligence, Prostate MR assists in the interpretation of multiparametric Prostate MRI. The deep neural networks of Prostate MR are designed to aid the detection and classification of prostate lesions and generate a pre-populated report. The results can be exported as a RTSS object which is then used in TRUS-guided biopsy by the urologist. The product is not commercially available in some countries, e.g. the US. Due to regulatory reasons the future availability cannot be guaranteed. Please contact your local Siemens Healthineers organization for further details.