Find the artificial intelligence based software for radiology that you are looking for. All products listed are available for the European market (CE marked).
14/244 results
Heart ventricles segmentation, quantification of ventricular volumes, myocardial mass, and ejection ...
The AI4CMR software performs a automatic cardiac segmentation and interpretation of Cardiac Magnetic Resonance (CMR), allowing quantification of various parameters without the need for intervention ...
Automatic measurement of aortic diameter, longitudinal comparison using prior exams
ARVA, “Augmented Radiology for Vascular Aneurysm“, is a solution for automatic measurement of the maximum transverse diameter of the aorta. ARVA provides the aortic maximum diameter, external wall ...
Coronary Artery Calcification (CAC) scoring
Aidoc's coronary artery calcification algorithm is a quantification algorithm that opportunistically runs on non-gated, non-contrast CTs to provide radiologists with a measurement of the levels of calcified plaques within coronary arteries.
Reconstructed images (MPR/VR/MIP/Probe/CPR/SCPR), Segmentation and 3D reconstruction of heart and ...
AIF and TAC curves, myocardial ischemic parameters, perfusion maps, voxel- and AHA segmental-level ...
Segmentation of coronary arteries, identification of calcifications, calcium volume, calcium mass, ...
Segmentation of coronary vessels, line measurement, CT-FFR calculation
Coronary artery stenosis detection
InferRead CT Coronary is used to automatically identify coronary artery stenosis.
Volume quantification, area quantification, distance quantification, disease recognition, Doppler ...
Ligence has developed a platform for automated analysis and reporting of 2D transthoracic echocardiography studies. The Ligence Heart platform reads DICOM format data, recognises image views, heart ...
Ventricle diameter quantification, RV/LV ratio
RV/LV ratio can inform a physician on the severity of a Pulmonary Embolism by comparing the diameters of the right and left ventricles of the heart.
MRI scan acceleration, MRI image enhancement
SwiftMR aims to accelerate MRI scans by up to 50% by enhancing low-quality initial outputs from accelerated scans. The deep-learning model improves SNR and resolution of MRI inputs, irrespective of ...
