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: Chest
Modality: CT
Source: Vendor
Growth calculation (prior study retrieval), Nodule classification, Nodule detection, Volume quantification
This AI assistant supports radiologists with detecting, classifying and tracking the growth of pulmonary nodules. DeepHealth Lung Check (previously Saige Lung and Veye Lung Nodules by Aidence) integrates into the PACS and is currently in use across Europe in both routine clinical practice and lung cancer screening programs.
Subspeciality: Chest
Modality: X-ray
Source: Vendor
Abnormality score, Current-prior comparison, Flagging normal exams, Radiologic finding detection, Text interpretation
Lunit INSIGHT CXR is deep learning based software that assists radiologists or clinicians in the interpretation of chest x-ray (PA/AP). The AI solution automatically detects 11 radiologic findings including atelectasis, calcification, cardiomegaly, consolidation, fibrosis, mediastinal widening, nodule, pleural effusion, pneumoperitoneum, acute bone fracture, and pneumothorax, and also supports tuberculosis screening.
Subspeciality: Cardiac
Modality: Ultrasound
Source: Vendor
All 4 chambers of the heart), Automated measurements include 2-dimensional (cardiac volumes, Both pw and cw measurements) and tissue doppler, M-mode (e.g. tricuspid annular plane systolic excursion), Spectral doppler (blood flow across all valves
Us2.ai supports cardiovascular disease diagnostics by providing machine learning based solutions that analyze and interpret echocardiograms, which are ultrasound images of the heart, creating patient reports, at scale, on mobile, on premises and cloud-based platforms.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Individual 1y/2y/3y breast cancer risk score
ProFound AI risk is a clinical decision support tool that provides personalized one-, two-, and three-year breast cancer risk estimates based on 2D screening mammograms or 3D breast tomosynthesis. ProFound AI Risk combines a range of risk factors (age, density, subtle mammographic features) to produce short-term risk assessments that physicians can use to create customized screening plans and catch early-stage cancers.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Calcification detection, Case scoring, Certainty scoring, Malignancy detection
The concurrent-read, cancer detection and workflow solution from iCAD analyzes each tomosynthesis image, detecting both malignant soft tissue densities and calcifications. Built on deep-learning and artificial intelligence technology, ProFound AI for breast tomosynthesis assists radiologists in addressing the challenges of reading tomosynthesis. Formerly branded as PowerLook Tomo Detection 2.0
Subspeciality: Chest, MSK
Modality: X-ray
Source: Vendor
Detection of appendicular skeleton fracture, Elbow joint effusion, Foot and spine. determine bone age., Joint dislocation., Leg, Pelvis, Pleural effusion, Pulmonary nodules, Pulmonary opacities and pneumothorax. measurement of shoulder, Rib cage fracture
TechCare Kids performs detection, measurements and bone age assessment in pediatric imaging.
- Detection: Aims to identify abnormalities across the thoracic and appendicular skeleton pathologies in pediatric patients.
- Measurements: Analyzes skeletal structures, including the shoulder, spine, hip/pelvis, leg, and foot.
- It aims to determine the bone age.
Subspeciality: Chest
Modality: CT
Source: Vendor
Benign-maligant prediction, Follow-up analysis, Graphic diagnostic reports, Lung-RADS category, Nodule classification, Nodule localization, Nodule risk assessment, Nodule sign, Pulmonary nodule detection, Radiomics analysis, Volume quantification
The CT Lung Nodule Analysis application is intended to detect and analyze suspicious lung nodules in chest CT images of adult patients. The application also provides tools to simultaneously display follow-up chest CT images and provide comparisons across different time points to assess the evolution of the lung nodules.
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: MSK
Modality: X-ray
Source: Vendor
AHP, Bone age based on GP and TW3 hybrid, Bone age of key roi, BP), Growth status tracking, Predicted adult height (middle-parental height
MediAI-BA is a web-based AI solution for automatic analysis of bone age, skeletal maturity indicator, and adult height prediction, featuring a patented hybrid analysis algorithm based on both GP and TW3 combined.
Subspeciality: Abdomen
Modality: MR
Source: Vendor
AI-supported ROI segmentation, PI-RADS v.2.1 scoring support, Prostate gland and zone volume measurements, PSA density calculation, Structured report
The artificial intelligence-based software, Prostate Health (previously named Saige Prostate and Quantib® Prostate), provides a workflow for detection of abnormalities on MRI prostate scans.
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.