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
CT Image denoising for any body part
ClariCT.AI is an AI-powered CT image denoising solution to provide increased image clarity in CT examinations with excessive image noise due to either low dose or large patient. It is trained to work ...
Modality: CT
ASPECTS score, LVO detection, vizualization of perfusion deficits
StrokeSENS™ is an AI powered medical imaging software and notification tool used by hospital networks and trained professionals, to augment acute stroke image analysis, supporting communication and ...
Modality: CT
Modality: CT
ASPECTS score, ischemic volume quantification, occlusion detection, hyperdensity detection, report ...
e-ASPECTS is a decision support tool for assessing stroke signs on plain CT brain scans which automates and standardizes the ASPECTS score and measures the volume of ischemic signs. e-ASPECTS ...
Modality: CT
Collateral assessment, occlusion detection, report generation
e-CTA is a decision support software that uses algorithms, artificial intelligence and data analytics to automatically detect LVO and standardize the assessment of collaterals on CT ...
Modality: CT
Automated ASPECT scoring
Based on the Alberta Stroke Program Early CT Scoring System, Rapid ASPECTS automatically generates a standardized score—based on machine-learning algorithms showing a patient’s ischemic changes.
Modality: CT, MR
Automated post-processing, leakage correction, automatic coregistration, automatic motion ...
Cercare Perfusion aims to solve two problems - slow perfusion imaging post-processing and difficult-to-read perfusion maps. Cercare Perfusion aims to improve radiology workflow efficiency and ...
Modality: CT
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 ...