Products
Find the artificial intelligence based software for radiology that you are looking for.
All products listed are available for the European market (CE marked).
47/159 results
Segmentation and volume quantification of lungs, lung lobes, lung lesions, heart, thoracic aorta, ...
The AI-Rad Companion Chest CT solution offers a multiorgan approach with pulmonary, cardiovascular and musculoskeletal functionalities. Major functionalities: lung lobe segmentation, lung lesion ...
Identifying and highlighting findings, atelectasis, pleural effusion, pulmonary lesions, ...
The AI-Rad Companion Chest X-ray automatically characterizes radiographic findings for a valid chest scan in the lung and pleura. It works like a second or third reader to support radiologists in ...
lung nodule detection
**Only available with Samsung Electronics systems.** For Auto Lung Nodule Detection multiple deep learning algorithms help predict lung nodule in general chest radiography as a second reader.
Lung lobe segmentation, Low Attenuation Analysis (LAA), Emphysema, Vessel Analysis, Fissure ...
AVIEW COPD gives COPD information based on a non-enhanced CT-scan of the thorax. Evaluation includes segmentation of lungs and lung lobes, low attenuation analysis, emphysema, vessel analysis, ...
Nodule detection, nodule classification, nodule volume quantification, VDT, Lung-RADS score, ...
The LCS Big 3 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
COVID-19 analysis, volume quantifications, affected area quantifications, severity scores
The CAD4COVID-CT software is based on deep learning technology to analyze Chest CT scans for abnormalities related to COVID-19. The software takes as input a Chest CT scan in dicom format. The input ...
Pathology quantification, risk scores, heatmap of abnormalities
To detect COVID-19 related abnormalities in frontal chest X-rays, Thirona developed CAD4COVID-XRay. This computer-aided detection software takes a single chest X-ray as its input, in the form of a ...
tuberculosis risk score, heatmap of abnormality score
To detect tuberculosis-related abnormalities in posterior anterior chest X-rays, Thirona developed CAD4TB™. This computer-aided detection software takes a single chest X-ray as its input, in the form ...
healthy patients report generation
ChestEye CAD is a fully automatic computer-aided diagnosis (CAD) chest X-ray solution. It identifies chest X-ray images with no abnormality and produces preliminary reports (imagine in, report out). ...
abnormality detection and localization
Arterys Chest | MSK AI proivides AI-powered detection and rule out support for emergency radiographs. It is able to detect fracture, dislocation, elbow joint effusion, pleural effusion, pulmonary ...
pneumothorax detection, pleural effusion detection, worklist prioritization, notification
Zebra-Med’s Chest Solutions are a suite of radiological software that can provide multiple capabilities including triage, visualization of findings, and automatic separation between normal and ...
Abonormal probability %, work list triage
Despite the technological evolution of imaging modalities like CT, US and MRI, conventional X-ray remains the most performed examination in radiology departments and remains a fundamental tool for ...
Content-based image retrieval, pattern classification, lung anomaly detection
contextflow SEARCH Lung CT is a 3D image-based search engine (currently it looks for 19 disease patterns in lung CTs). It identifies and matches relevant, visually-similar disease patterns to aid in ...
Pneumothorax detection, on-device notifications, worklist prioritization, quality checks on ...
**Currently only available with GE Healthcare systems.** Critical Care Suite, powered by Edison, is a collection of AI algorithms for triage and quality control embedded on an X-ray system. The ...
Quantification of lung involvement, total and lobular, lesion classification
icolung is a cloud-based AI software to quantify the degree of lung involvement in COVID-19 patients. CE cleared, in the US available for clinical use during public health emergency related to ...
Triage tool, workflow improvement
Aidoc’s Incidental Pulmonary Embolism (PE) algorithm detects and prioritizes iPE on CT scans with the aim to speed identification, triage, and treatment. The algorithm runs automatically on contrast ...
lung nodule detection, report generation, multi-timepoint analysis
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 ...
pneunomonia detection, report generation, COVID-19 alarm functionality
InferRead CT Pneumonia allows for screening of the COVID-19 detecting pneumonia in less than one minute. The main functionalities incorporate displaying the number of affected lung lobes, its degree ...
abnormality detection
InferRead DR Chest aims to detect diverse pathologies in a single X-Ray image. It is able to detect 14 different pathologies including pneumonia, tuberculosis, fracture, nodules, pleural effusion or ...
lung nodules detection and quantification, LungRADs categorization, Vancouver Risk calculator, ...
JLD-01K is based on the Convolutional Neural Network (CNN), a type of deep learning model, that detects nodules in pulmonary CT images. Measure the diameter and volume of the nodules found, proceed ...
abnormality detection and localization of 15 lung diseases
JLD-02K is an AI medical system that diagnoses lung diseases using simple chest X-ray images and clinical information. This system is based on a hybrid artificial neural network technology for lesion ...
lung nodule detection, volume quantification, nodule tracking over time, Lung-RADS support, ...
Automatic detection of solid, part solid, and ground glass nodules. The user can add, edit, or delete detections with automatic updates to quantitative information. Lung AI supports Lung-RADS ...
emphysema %, emphysema volume and lung volume
Quibim has developed fully automated tool that analyzes CT volume datasets to provide a quantification of different imaging biomarkers: lung volumes, vessel volumes, emphysema volume and ratio ...
Lung density quantification, abnormal lung region mapping, report generation
Lung Density Analysis™ applies big data analysis to paired inspiratory / expiratory chest CT studies to provide visualization and quantification of lung regions with abnormal tissue density. ...
volume segmentation and quantification, volume density analysis, airway morphology , vascular ...
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 ...
fibrotic condition identification, percentage of lung affected, volume quantification, report ...
Lung Texture Analysis ™ from Imbio automatically applies computer vision to transform a standard chest CT into a map of the lung textures to identify ILD’s and other fibrotic conditions (normal, ...
Radiologic finding detection, abnormality score, 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 10 radiologic findings ...
pre-diagnosis of x-ray image, worklist prioritization
Milvue Suite is a software that uses artificial intelligence algorithms to provide preliminary data to help for medical imaging diagnosis, tasks automation and workflow.
Abnormality detection and localization, report generation, tuberculosis screening, worklist ...
qXR detects abnormal chest X-rays, then identifies and localizes upto 29 common abnormalities. It also screens for tuberculosis.
Quantification, Radiomics, imaging biomarker discovery
Quibim has developed a non-invasive post-processing application to quantify several features related to the heterogeneity of a lesion, which can be considered as indicators of tumor aggressiveness. ...
bone suppression, super zoom, anatomical W/L, anatomical ABC, anatomical exposure index
TIRESYA is the core of Digitec's products featuring artificial intelligence algorithms. TIRESYA’s properties and functions are applied across the following radiology products: - ERACLE - Digital ...
nodule detection, segmentation and quantification, temporal registration and nodule comparison, ...
Veolity is a reading platform dedicated to lung screening program. It combines lung CAD of solid pulmonary nodules, integration and automatic registration of prior studies and creates the associated ...
Nodule detection, nodule classification, volume quantification, growth calculation (prior study ...
This AI assistant supports radiologists with detecting, classifying and tracking the growth of pulmonary nodules. Veye Lung Nodules integrates into the PACS and is currently in use across Europe in ...
Lung disease biomarkers, lung (lobe) volume quantification, scan suitability quality check, ...
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, ...
Abnormality detection
It informs the reader about major thoracic findings and its location. The current version of VUNO Med-Chest X-ray can find nodule/mass, consolidation, interstitial opacity, pleural effusion, and ...
Nodule detection, Nodule measurement, Nodule classification, Lung-RADS reporting
It detects and quantifies pulmonary nodules, providing size, volume, nodule type, location, calcification, and spiculation. An automatic report based on the calculated Lung-RADS category is produced ...
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 ...
lung nodule detection
Riverain’s ClearRead CT Detect detects lung nodules in CT images.
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 ...
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 and detect more.
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.
line and tube identification
ClearRead XRay identifies and highlights lines and tubes on portable chest X-ray images. Radiologists can minimise imaging adjustments and decrease reading time.
lung nodule detection
ClearRead Detect identifies regions-of-interest on the bone suppressed soft tissue image that may be early-stage lung cancer.
Triage tool, workflow improvement
Aidoc’s Pulmonary Embolism solution is a triage and notification software indicated for use in the analysis of CTPA images; flags and communicates Pulmonary Embolism (PE).
abnormality detection, explaining heatmaps, worklist prioritization
The red dot® algorithm is based on deep learning models. The training process teaches the algorithm to both classify a CXR and localize its findings. This localization is rendered through heatmaps ...
nodule malignancy similarity score
RevealAI™ is Computer Assisted Diagnostic (CADx) software that reveals patterns within images and across patients. The analytics generate scores for the current patient by comparing abnormalities to ...