DASI Dimensions (V1.0) is a clinical decision support software that processes multiphase CTA chest images to generate automated measurements of cardiovascular structures. It helps cardiologists and radiologists by providing detailed images and numerical data to support planning for aortic valve replacement procedures, improving accuracy and efficiency of pre-operative assessments.
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.
The United Orthopedic Knee Patient Specific Instrumentation by Enhatch, Inc. is a system that uses AI-powered software to process CT and X-ray images for 3D modeling and preoperative surgical planning of total knee arthroplasty. It includes patient-specific surgical guides to help orthopedic surgeons accurately position knee implants during surgery, improving precision and outcomes for patients without severe bone deformities.
StrokeViewer Perfusion is a software package designed to analyze dynamic brain CT perfusion scans to provide quantitative information about blood flow and volume in brain tissue. It aids medical professionals by visualizing perfusion maps and numerical data to assist in the evaluation of suspected ischemic stroke patients. The software supports clinicians by generating additional imaging data to inform diagnosis and treatment decisions without replacing clinical judgment.
Bonelogic is a software used by orthopedic healthcare professionals to assist in diagnosis and surgical planning of foot and ankle conditions using CT scan data. It provides semi-automatic segmentation of bones, creates 3D models, and offers measurement tools to support clinical decision-making and treatment planning.
The Aquilion Serve SP (TSX-307B/1) V1.3 is a multi-slice helical CT scanner that acquires and displays whole-body cross-sectional imaging volumes. It includes an AI-based noise reduction algorithm called AiCE (Advanced Intelligent Clear-IQ Engine) that enhances image quality by reducing noise using deep learning techniques. This helps clinicians obtain clearer diagnostic images for various applications including abdomen, pelvis, lung, cardiac, extremities, head, and inner ear imaging.
Ceevra Reveal 3+ is a software medical imaging system that processes CT and MRI scans to generate detailed three-dimensional images. It uses machine learning algorithms to assist clinicians in segmenting and visualizing normal anatomy to support preoperative surgical planning and intraoperative display. This helps healthcare professionals better review, analyze, and plan treatment by interacting with 3D images on computers, mobile devices, or VR headsets.
BriefCase-Quantification by Aidoc Medical is an AI-driven software designed to analyze non-cardiac-gated, non-contrast CT scans including the heart to detect and categorize coronary artery calcification (CAC). It provides physicians with a four-category risk assessment for coronary artery disease along with preview images of detected calcium, assisting clinical evaluation but not replacing full image review or clinical judgement.
Brainomix 360 Triage Stroke is an AI-powered radiological software that analyzes non-contrast head CT scans to detect suspected large vessel occlusions and intracranial hemorrhages. It helps clinicians by prioritizing and notifying cases that require urgent attention, improving workflow efficiency in the acute stroke setting. The device presents notifications through a web interface or mobile app, but is not intended for primary diagnosis and should be used alongside standard clinical assessments.
Axial3D Insight is a cloud-based image segmentation and 3D modeling service that converts medical imaging data into digital files or 3D printed physical models. These outputs assist clinicians in treatment planning and diagnosis for trauma, orthopedic, maxillofacial, and cardiovascular conditions, improving clinical decision-making.
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