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: 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: Neuro
Modality: MR
Source: Public
Brain region segmentation, Contrast image synthesis, Degree of myelination
The product package SyMRI NEURO includes contrast weighted images as well as biomarker segmentation, volumetric measurements of brain tissues and parametric maps. The product is designed to offer the clinician more information than conventional MRI and provide objective decision support for the diagnosis and follow-up of patients.
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: MSK
Modality: X-ray
Source: Vendor
Fracture detection with bounding box
qMSK is a deep-learning based X-Ray interpretation and labeling software. It screens radiographs of 15 anatomies (clavicle, ribs, shoulder, humerus, elbow, forearm, wrist, hand/fingers, hip, pelvis, femur, knee, tibia-fibula, ankle, foot/toe) for signs of fractures. The output is an additional DICOM with a summary of AI findings and a bounding box drawn around the suspected site of fracture, if any.
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.