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: X-ray
Source: Vendor
Computer-aided diagnosis tool, Intended to help radiologists and emergency physicians to detect and localize abnormalities on standard x-rays
AZchest is intended for use in the analysis of chest X-rays. It is designed to assist healthcare professionals by automatically detecting, categorizing, and reporting on cardiac and pulmonary abnormalities.
Subspeciality: MSK
Modality: CT
Source: Vendor
Cervical spine fracture detection
CINA-CSpine is a triage tool designed to assist in detecting cervical spine fractures on non-enhanced neck CT scans. By automatically flagging potential fractures, it helps radiologists determine if the spine is compromised.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Cobb angle and gravity axis., Coronal balance, Cyphosis t1-t12, Heel t9, Including pevlic version, Lordosis l1/s2, Measurement of the spine, Pelvic incidence, Sacral slope, Sagittal balance
TechCare Spine performs measurements of the spine in osteoarticular radiographs. TechCare Spine outputs a measurement report. Moreover, it is EOS compatible.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Calcaneus slope, Djian-annonier angle, Femoral offset, Femur length, First metatarsal slope, Flessum/recurvatum angle. feet: m1-p1 angle, HKA angle, HTE Angle, Leg length, M1-M2 angle, M1-M5 angle, Meary-Tomeno angle., Measurement of shoulder: critical shoulder angel. Pelvis: anterior coverage angel, P1-P2 angle, Pelvic tilt. leg: cc'd angel, Tibial length, VCE angel
TechCare Bones performs measurements of several structures in osteoarticular radiographs, including the shoulder, hip/pelvis, leg, and foot. TechCare bones outputs a measurement report.
Subspeciality: Cardiac, Chest
Modality: CT, X-ray
Source: Vendor
Cardiac risk screening., COPD screening, Detection in X-ray: pleural effusion, Pneumothorax. ct-scan: long nodule, Pulmonary nodules, Pulmonary opacities
TechCare Chest aims to detect of thoracic abnormalities in X-rays and CT scans. TechCare Chest combines Milvue's emergency chest X-ray solution with Coreline's "aview LCS Plus" to support the interpretation of pulmonary CT scans.
- Radiography: Identifies pneumothorax, pleural effusion, opacity, and nodules.
- CT-Scan: Assists in the detection of lung nodules, COPD, and cardiac risk indicators.
Subspeciality: Chest, MSK
Modality: X-ray
Source: Vendor
Detection of appendicular skeleton fracture, Elbow joint effusion, Joint dislocation, Opacity, Pleural effusion, Pneumothorax, Pulmonary nodule., Ribs cage fracture
TechCare Alert aims to detect findings in emergency X-rays. These findings include: - Bones/Trauma: Fractures, dislocations, elbow joint effusion. - Thorax: Pneumothorax, opacity, pleural effusion, nodule.
Subspeciality: Neuro
Modality: MR
Source: Vendor
Brain structure segmentation and volume quantification, Comparison to reference population, Multiple time-point analysis, White matter hyperintensity detection and quantification
Brain Health (previously Saige Brain and Quantib® ND) offers automated segmentation of brain structures and white matter hyperintensities. This machine learning radiology application provides insight into the possible presence of atrophy related to Alzheimer's disease or other types of dementia. Brain Health's follow-up feature allows for tracking of neuro degeneration over time. Automatic assessment of white matter hyperintensity development supports monitoring of MS patients.The software distinguishes between new and previously identified WMHs, providing a visualization with color-coded lesions super positioned on an anatomical map.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Breast density assessment according to BIRADS 5th edition
The ClariSIGMAM is a breast density assessment solution that provides density estimates from standard digital mammograms. It automatically analyzes 2D digital mammograms to calculate breast tissue composition. It assesses breast density and generates a breast density grade in line with the American College of Radiology's BI-RADS density classification scales. The breast density output by ClariSIGMAM is designed to display on mammography workstations or PACS as a DICOM mammography structured report or secondary capture.
Subspeciality: Chest
Modality: CT
Source: Vendor
Automatic segmentation and visualization of lungs and airways, Emphysema reporting, LAA/HAA quantification
ClariPulmo is an AI-powered tri-functional solution for lung CT images. Our deep learning model provides quantitative analysis of low-attenuation and high-attenuation lesions. In combination with ClariCTAI it reduces noise induced bias with 3D reporting.
Subspeciality: Cardiac
Modality: Ultrasound
Source: Vendor
Area quantification, Disease recognition, Distance quantification, Doppler modality quantification, Volume quantification
Ligence has developed a platform for automated analysis and reporting of 2D transthoracic echocardiography studies. The Ligence Heart platform reads DICOM format data, recognises image views, heart cycle, performs measurements and generates a report based on findings. It allows medical practitioners to skip manual measurements during the examination.
Subspeciality: Cardiac
Modality: MR
Source: Vendor
Automatic segmentation, Blood flow/velocities quantification, Pathological volumes detection and quantification, Semi-quantification of the myocardial perfusion, Strain quantification, Volume quantification and length measurement of the heart chambers
QIR-MR is a clinical decision support software for the diagnosis, treatment, prevention, or mitigation of cardiovascular conditions. It allows quantitative analyses of cardiovascular Magnetic Resonance (MR) images.
AIRAmed
Subspeciality: Neuro
Modality: MR
Source: Vendor
Brain tissue and anatomy segmentation, Normative comparison, Report generation, Volume quantification, WMH detection and quantification
AIRAscore structure provides quantitative data of brain tissue and brain structures for early detection of atrophies and tracking progression. In addition, the lesion characterisation and quantification may support the diagnosis of a wide range of neurodegenerative diseases. The results are presented in the PACS as a PDF report and compared to an age- and sex-correlated reference collective. Bar charts and a pictogram-based spatial representation of the results facilitate their interpretation.