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
CE
FDA
Joint space narrowing, Osteoarthritis grading, Osteophytes
RBknee can automatically detect findings relevant for radiographic osteoarthritis, and provide a secondary capture and a structured text report with findings and conclusion.
Subspeciality: Cardiac
Modality: CT
Source: Public
Coronary artery calcium detection
Nanox.AI's Cardiac Solution analyzes already existing non-gated CT scans and quantifies coronary artery calcification, an early-warning for asymptomatic patients suffering from coronary artery disease.
*Previously part of Zebra Medical Vision
Subspeciality: Chest
Modality: CT
Source: Vendor
CE
FDA
High density tissue quantification by lobe, Hyperion View (tMPR), Low density tissue quantification by lobe, Lung disease biomarkers, Lung (lobe) volume quantification, Scan suitability quality check, Trachea analysis and quanitification
VIDA Insights™ is a lung intelligence solution providing quantitative data and visualizations. VIDA's biomarkers measure lung destruction, inflammation, function and more, to aid the detection, diagnosis, treatment and tracking of all major lung diseases, including COPD, ILD and now COVID-19.
Subspeciality: Chest
Modality: CT
Source: Vendor
Airway morphology, Fissure completeness analysis, Vascular morphology, Volume density analysis, Volume segmentation and quantification
Thirona's lung quantification software offers analysis of chest CT scans based on artificial intelligence, aiding in the detection, evaluation, and treatment planning of lung diseases. Analysis provided by the software include quantifications of anatomical volumes, disease distributions, airway morphology, vascular morphology, fissure completeness, and analysis of COVID related abnormalities.
Subspeciality: Chest
Modality: X-ray
Source: Vendor
Improved visibility of lines and tubes
ClearRead XRay identifies and highlights lines and tubes on portable chest X-ray images.
Subspeciality: Chest
Modality: X-ray
Source: Vendor
Lung nodule detection of nodules of 9 to 30 mm in size
ClearRead Detect identifies regions-of-interest on the bone suppressed soft tissue image that may be early-stage lung cancer.
Subspeciality: Chest
Modality: X-ray
Source: Vendor
Bone suppression
ClearRead Bone Suppress removes ribs and clavicles from a standard chest X-ray, providing a soft tissue image, allowing clinicians to see more.
Subspeciality: Chest
Modality: X-ray
Source: Vendor
Multiple time-point analysis
ClearRead Compare is an image registration and enhancement application that accentuates interval change between current and prior chest X-ray exams by forming a subtraction image.
Subspeciality: Chest
Modality: CT
Source: Vendor
Multiple time-point analysis
Nodule tracking for differential measurements. Utilizing ClearRead CT Detect, ClearRead CT Compare tracks nodules and provides nodule volumetric changes over time for solid, part-solid, and ground glass nodules.
Subspeciality: Chest
Modality: CT
Source: Vendor
Vessel suppression
Riverain's ClearRead CT Vessel Suppress is powered by machine learning and advanced modeling and suppresses vascular structures. The vessel suppression algorithm works with contrast and non-contrast scans, and operates on slices with section thickness up to 5mm.
Subspeciality: Neuro
Modality: CT
Source: Vendor
Midline shift and lateral ventricles, Quantification of intracranial hyperdensities
qER-Quant's deep learning algorithms quantify the volume of intracranial structures and lesions. Clinicians can use these quantitative measurements to assist with determining the severity of the trauma, lesion or underlying disease, or to assist with the comparison of multiple CT scans. qER-Quant is part of qER in Europe. In the United States qER-Quant is available as a separate product.
Subspeciality: Neuro
Modality: CT
Source: Vendor
Brain pathology detection, Mobile notifications, Report generation, Traumatic brain injury tracking, Worklist prioritization
Head CT scans are a first line diagnostic modality for patients with head injury or stroke. qER is designed for triage or diagnostic assistance in this setting. The most critical scans are prioritized on the radiology worklist so that they can be reviewed first. It detects critical abnormalities such as bleeds, fractures mass effect and midline shift, localizes them and quantifies their severity. In the US, FDA 510(k) clearance only for quantifying the volume of intracranial structures and lesions. See qER-Quant