Find the artificial intelligence based software for radiology that you are looking for. All products listed are available for the European market (CE marked).
18/244 results
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 ...
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, ...
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. ...
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 ...
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 ...
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
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 ...
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 ...
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.
Endotracheal tube tip to carina measurement, detection and flagging of pneumothorax and ...
**Currently only available with GE Healthcare systems.** Critical Care Suite, powered by Edison, is a collection of AI algorithms for automated measurements, triage and quality control embedded on ...
Noise reduction of low dose CT
PixelShine is an algorithm for de-noising CT datasets supporting new CT protocols to drive patient dose down, while image quality is maintained. PixelShine may aid detectability of subtle pathologies ...
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 ...
