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: Public
Volumetric liver fat estimation
HepaFat-Scan is a non-invasive MRI-based solution for measuring the volume fraction of fat in liver tissue. HepaFat-Scan is provided as an image analysis service. HepaFat-Scan reports volumetric fraction of fat in the liver, a measure that can be directly compared to a volumetric biopsy fat fraction measurement.
Subspeciality: Abdomen
Modality: MR
Source: Public
Liver iron concentration estimation
FerriSmart is an automated system for measuring liver iron concentration (LIC). FerriSmart uses a specially trained convolutional neural network to analyse R2-MRI images to quantify the patient's LIC.
Subspeciality: MSK
Modality: CT
Source: Vendor
Fracture detection, Report generation
Nanox.AI's bone health algorithm detects vertebral compression fractures and can be applied to any CT of the chest or abdomen. Zebra's bone health solution integration occurs in the background as scans are being forwarded to the Zebra server for analysis. Zebra's insights are then gathered to a structured report which includes all positive cases identified by the algorithm for the medical staff to review. A sagittal image is provided per each positive case where the algorithm detected a fracture. *Previously part of Zebra Medical Vision
Subspeciality: Chest
Modality: CT
Source: Vendor
Lung nodule detection, Multi-timepoint analysis, Report generation
InferRead CT Lung is a processing solution for lung cancer screening. It recognizes the core features of lung cancer, determine the characteristics of suspected lung nodules in different image sequences and aims to aid early-stage diagnosis. This solution provides information on nodules, including position, size, density, malignancy rate and evolution.
Subspeciality: Chest
Modality: CT
Source: Vendor
Automated measurements of nodule diameter, Depth, Lung nodule detection, Volume
Riverain's CT Detect technology provides measurements for each detected region of interest including location, type, volume, maximum, minimum, average axial plane diameters, and nodule depth. All nodule types are detected (solid, part-solid, ground glass) at or above 5mm.
Subspeciality: Chest
Modality: CT
Source: Vendor
Automatic comparison of nodules, Diameter calculation, Malignancy score, Nodules detection, Nodules localization, Nodules measurements, SARS-Cov2, SARS-CoV2 lesion quantification, Volume calculation
Rayscape's Lung CT solution helps radiologists identify lung nodules that have a diameter between 3-30 mm. The algorithms highlight the presence of nodules on each slice and, separately, measures the diameter and volume of the identified ones. Rayscape CT is also able to compare lung nodules characteristics between different investigations and to generate a report with their evolution.
Rayscape Lung CT identifies lesions caused by SARS-CoV2 infection and quantify them volumetrically.
Subspeciality: Chest
Modality: CT
Source: Vendor
Content-based image retrieval, Lung anomaly detection, Malignancy scoring, Quantification & characterization; longitudinal nodule tracking, Visualization, Visualization and quantification; lung nodule detection
contextflow ADVANCE Chest CT offers comprehensive computer-aided detection support for ILD, COPD and lung cancer. It offers lung nodule detection and tracking of changes over time, quantitative and qualitative analysis of 8 image patterns, and 3D image search for 19 image patterns. contextflow ADVANCE Chest CT includes a timeline feature that quantifies and visualizes nodules over time, allowing physicians to follow treatment progress. A nodule malignancy similarity score can be provided through partner company RevealDx.
Subspeciality: Chest
Modality: CT
Source: Vendor
Benign-maligant prediction, Bronchial/vascular reconstruction, Graphic diagnostic reports, Incisal expanson, Local VR, Lung segment focus, Nodule classification, Nodule risk assessment, Pulmonary nodule detection, Radiomics analysis, Volume quantification, Whole lung 3d reconstruction
The CT Pulmonary Nodule 3D application is intended to detect and analyze suspicious lung nodules in chest CT images of adult patients. The application also provides 2D and 3D reconstructed views, and analyzes parameters of nodules to assess the characteristics of the lung nodules.
Subspeciality: Cardiac
Modality: CT
Source: Vendor
Coronary lesion detection, High risk plaque classification, Plaque analysis, Plaque detection, Reconstructed images (MPR/VR/MIP/Probe/CPR/SCPR), Segmentation and 3D reconstruction of heart and coronary arteries, Stenosis detection
The CT Coronary Plaque application is intended to assist in detecting and evaluating plaques found in cardiac CT images of adult patients. It provides segmentation results of the detected plaques, multiple reconstructed images and a series of parameters, facilitating radiologists to confirm or dismiss the software detected plaques.
Subspeciality: Neuro
Modality: CT
Source: Vendor
Mismatch area volume, Mismatch ratio, Perfusion parameter images
The CT Cerebral CTP Auxiliary Analysis application is intended to process computed tomography (CT) perfusion scans of the brain, automatically reconstruct perfusion parameter maps, and assist in the quantitative assessment of hypoperfusion areas, core infarct areas, and mismatch regions in patients with ischemic stroke.
