Vitrea CT VScore is a software application designed to aid medical professionals in visualizing, segmenting, and quantifying calcified lesions in ECG-gated cardiac CT images of patients aged 30 years or older. It provides calcium scoring and generates detailed reports to assist clinicians in cardiac imaging assessment.
Brainomix 360 e-Lung is a software tool designed to assist physicians by providing automated, quantitative analysis of chest CT images. It offers 3D segmentation, volumetric measurements, and density evaluations of lung tissue to support diagnosis and longitudinal assessment of lung diseases, enhancing workflow efficiency and accuracy in radiological interpretation of CT thoracic scans.
The CAC (gated) Algorithm is a software medical device designed to automatically detect and quantify coronary artery calcium from non-contrast ECG-gated cardiac CT scans. It aids physicians by providing calcium segmentation and quantification information integrated into their workflow, helping assess coronary artery health.
CardIQ Suite is a non-invasive software tool that analyses 2D and 3D CT cardiac images to assist clinicians in visualizing and measuring heart structures and vessels. It provides calcium scoring to evaluate calcified plaques and uses deep learning algorithms to automate segmentation and labeling of heart and coronary arteries, improving diagnostic workflow for cardiovascular diseases.
AI-Rad Companion (Pulmonary) by Siemens Healthcare GmbH is software that uses machine learning and deep learning to analyze previously acquired chest CT scans. It helps radiologists and physicians segment lungs and lung lobes, identify and measure solid and sub-solid lung nodules, and track changes over time. This supports clinicians in assessing lung diseases, improving workflow efficiency and diagnostic accuracy.
HealthFLD is an AI-powered software that analyzes CT images of the liver to provide clinicians with quantitative and qualitative measurements of liver attenuation, aiding the assessment of fatty liver disease. It processes both non-contrast and contrast CT scans for adult patients and outputs liver density metrics to support clinical decision-making.
LungQ v3.0.0 is a software tool that helps physicians analyze CT scans of the lungs by automatically segmenting lung structures, measuring lung volumes and densities, evaluating fissures, and generating reports. It supports diagnosis and monitoring of lung conditions by providing quantitative assessments from CT scans, streamlining clinical workflows.
MeVis Liver Suite is a medical image analysis software designed to assist physicians, especially radiologists and surgeons, in evaluating the liver and its vascular anatomy using CT and MR images. It provides tools for manual and AI-based semi-automatic segmentation of abdominal organs, liver lesions, and vascular structures, supporting treatment planning and follow-up assessment for liver-related conditions. The software calculates volumes, visualizes 3D vascular tumor margins, and enables manual spatial registration of images, enhancing clinical workflow without replacing diagnostic workstations.
CAC Software by Imbio, Inc. is a machine learning-based post-processing tool that analyzes non-contrast CT images of the chest to assess calcified plaques in the coronary arteries. It quantifies the calcification burden by producing scores and metrics that help clinicians evaluate coronary artery disease risk. The software outputs annotated images and a detailed report, integrating into the standard DICOM workflow to assist physicians without making standalone diagnoses.
AI-Rad Companion (Cardiovascular) is a software product that uses AI and deep learning to analyze previously acquired chest CT images, providing quantitative and qualitative assessments of cardiovascular structures like the heart and aorta. It helps clinicians by automating segmentation, volume measurement, calcium quantification in coronary arteries, and diameter measurements of the aorta, thus supporting accurate and efficient cardiovascular disease evaluation.
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