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).
8/198 results
Modality: Ultrasound
Automated nodule recognition, quantification and visualization of sonographic features, risk ...
AmCAD-UT® Detection gives physicians a tool to process ultrasound images for sonographic characteristics that assist in making diagnostic decisions. AmCAD-UT® Detection uses statistical pattern ...
Modality: X-ray, CT, MR, PET, Ultrasound, SPECT
Quantification, Radiomics, imaging biomarker discovery
Quibim has developed the Texture Analysis to quantify features related to the heterogeneity of the tissues and obtain texture parameters.
Modality: Ultrasound
Ejection Fraction, Left Ventricle global and segmental strain, Left Ventricle segmental wall ...
LVivo AI Cardiac ultrasound analysis solutions provide objective cardiac ultrasound images analysis, aimed at mitigating the challenges of manually capturing and visually analyzing ultrasound images.
Modality: Ultrasound
Bladder volume segmentation and quantification
LVivo Bladder transforms any ultrasound device, on-premise, into an AI-powered bladder scanner to measure bladder volume in one click.
Modality: Ultrasound
Ventricle volume analysis, ejection fraction, strain, worksheet generation
EchoGo Core is the automated solution for cardiovascular findings – calculating Ejection Fraction, Global Longitudinal Strain and Left Ventricular Volumes.
Modality: Ultrasound
risk prediction, automated segmentation
Outcomes-based AI system that predicts coronary artery disease.
Modality: Ultrasound
BI-RADS categorization, lesion classification, confidence level indicator, smart calipers, ...
Koios DS Breast is software that assists trained interpreting physicians in analyzing breast ultrasound images. The core AI engine characterizes image features to generate output that aligns to ...
Modality: Ultrasound
Classification of risk of having ovarian cancer
TRACE4OC provides the woman's level of risk (very low risk or medium-high risk) of being affected with ovarian cancer at the date of the TRACE4OC-processed USI investigation of an adnexal mass, ...