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).
20/219 results
Modality: X-ray
Quality assurance, identifying missed clinical significant findings
ChestEye Quality is an automatic Quality Assurance (QA) chest X-ray solution. It automatically double-reads all chest x-rays, by analyzing radiologists' reports and comparing them with AI analysis of ...
Modality: CT
Content-based image retrieval, pattern classification, lung anomaly detection, longitudinal nodule ...
contextflow ADVANCE Chest 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 ...
Modality: CT
Pneunomonia score, quantification of affected volume
The AI tool is designed to detects pneumonia from the CT scan and provide the volume and occupation of lesions. Built-in is 3D VR and MPR calculation of lesions. The product also allows for ...
Modality: X-ray
TB screening with large population
This AI tool is designed to support radiologists in diagnosing tuberculosis from X-ray chest scans. It features automatic batch operation for efficient processing, identifies the affected regions by ...
Modality: CT
Lung nodule detection, localization and volume quantification, malignancy score
The AI tool is capable of detecting lung nodules in CT scans. Classification (solid, partial solid, ground glass, calcification) and risk prediction (benign, malignant) on each nodule are provided.
Modality: X-ray
Abnormality detection
VUNO Med® Chest X-Ray™ is a deep learning-based screening solution for five major lung diseases - Nodule/Mass, Consolidation, Interstitial Opacity, Pneumothorax, Pleural Effusion - on chest X-ray ...
Modality: X-ray
Triage, detection and localization of pneumothorax, pleural effusion, alveolar syndrome, nodule, ...
ChestView detects and localizes lesions on Chest X-Rays. It is designed to assist radiologists and clinicians in triaging cases and increasing diagnostic performances by highlighting regions of ...
Pathology quantification, risk scores, heatmap of abnormalities
To detect COVID-19 related abnormalities in frontal chest X-rays, Delft Imaging and Thirona developed CAD4COVID-XRay. This computer-aided detection software takes a single chest X-ray as its input, ...
Modality: X-ray
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 ...
Modality: X-ray
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.
Modality: CT
Fibrotic area localization, classification, and distribution, lung and lobe segmentation, pneumonia ...
Lung Texture defines the fibrotic area of the lungs in 6 patterns and automatically generates a report by analyzing the location and distribution. Quantitative analysis help with difficult reading ...
Modality: CT
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 ...
Modality: CT
Nodule detection and localization, nodule characterization, nodule quantification, segmentation and ...
LuCAS-plus can automatically detect and suggest nodules through its AI algorithm. The main aim of this solution is to carry out an automated and interconnected medical diagnostic process to minimize ...
Modality: CT
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, ...
Modality: CT
Emphysema %, emphysema volume and lung volume
Quibim has developed an automated suite with a patented algorithm that analyzes CT volume datasets to quantify different imaging biomarkers: lung and vessel volumes, low densities volumes and their ...
Modality: X-ray
Modality: CT
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 ...
Modality: X-ray
Abonormal probability %, work list triage
Quibim’s Chest X-ray Classifier aims to help radiologists deal with the large volumes of chest radiographs by prioritizing potentially pathological cases. This AI-fueled app is able to automatically ...
Modality: X-ray
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 ...
Modality: CT
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 ...