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).
13/210 results
Nodules detection, nodules localization, nodules measurements, volume calculation, diameter ...
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 ...
Radiology report assessment of liver lesions, pulmonary nodules, pancreatic lesions, thoracic and ...
IMedis Duali-Q aims to optimize the QA process by performing automatic QA on every CT scan and accompanying report to uncover actionable failure points, helping to enhance radiology performance, ...
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 ...
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 ...
Triage tool, workflow improvement
Aidoc’s pulmonary nodules solution is a triage and notification software indicated for use in the analysis of CT images; flags and communicates suspected positive findings of pulmonary nodules.
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, ...
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 ...
Lung nodule detection, emphysema detection
qCT-Lung aids lung cancer screening programs and facilitates opportunistic screening using AI. It provides pre-read assistance to clinicians by detecting lung nodules & emphysema.
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 ...
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 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 ...
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 ...
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 ...