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).
9/219 results
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: 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: 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: 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: 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 ...