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).
9/223 results
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 ...
Modality: CT, MR
Large vessel occlusion detection, hemorrhage detection, notification, MRI-DSC post-processing, ...
Arteys Neuro AI is a platform to assist with the multiple neuro-radiology workflows. It includes a brain oncology processing suite powered by Imaging Biometrics, a stroke detection software powered ...
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, 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
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
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.