FDA Radiology AI Devices

Quantib ND is an AI-powered software that processes MRI brain scans to automatically identify and measure volumes of various brain structures and white matter hyperintensities. It provides 3D visualizations and quantitative data to assist medical professionals in evaluating brain images and supporting quantitative reporting, making brain MR image assessment more precise and efficient.

vascuCAP is a medical image analysis software designed to help clinicians process and evaluate multidimensional CT images of arterial vessels. It provides tools to visualize vessels in 3D and measure key anatomical features such as lumen boundaries, vessel stenosis, and plaque characteristics. This assists physicians in stratifying patients with atherosclerosis by providing detailed vessel information to complement standard care.

Centricity Universal Viewer by GE Healthcare is a medical imaging software solution designed to display, manage, analyze, and share medical images from multiple imaging modalities. It facilitates radiologists and cardiologists in interpreting diagnostic images, improving workflow and clinical decision-making. It supports many imaging formats but is not intended for digital pathology diagnosis. The product enhances clinicians' ability to view and interpret images efficiently across healthcare systems.

Vitrea CT Brain Perfusion is a software tool that processes CT imaging data to calculate and visualize brain blood flow parameters. It helps physicians assess brain perfusion in patients with acute stroke by highlighting areas with decreased blood flow, supporting clinical decision-making.

icobrain is an AI-powered software that automates the identification, labeling, and volume measurement of brain structures from MR and CT images. It assists clinicians in evaluating brain conditions such as dementia and traumatic brain injury by providing detailed volumetric reports and visual overlays, improving the efficiency and accuracy of brain image analysis.

Arterys MICA is a software platform designed to display, process, store, and transfer medical imaging data, including CT and MR images. It features modules specialized for cardiac and oncology workflows, providing quantitative analysis to aid clinicians in diagnosis. The software runs on standard computers via a web browser and supports enhanced image viewing and lesion evaluation for clinical decision support.

Ziostation2 is an advanced medical image processing software that supports multiple imaging modalities including CT, MRI, Ultrasound, and X-ray. It helps clinicians view and analyze medical images by providing tools for image quantification, manipulation, and communication. This software is designed to enhance the workflow and diagnostic process for radiologists and other trained medical professionals.

Volpara Imaging Software is a tool designed to analyze raw digital mammography and tomosynthesis images to calculate volumetric breast density. It provides quantitative measurements and density maps to assist healthcare professionals in evaluating breast tissue composition. The software operates on a Windows server outside the patient environment and supports clinical decision-making by providing adjunctive information on breast density, aiding in breast cancer screening assessments.

Quantitative Total Extensible Imaging (QTxI) is a software tool that helps medical professionals manage and evaluate digital medical images from CT and PET scans. It supports tasks such as storing, retrieving, and displaying images, as well as identifying and analyzing regions of interest (ROIs) in full or partial body scans with 3D visualization. This software aids clinicians by automating quantification and monitoring changes in imaging data to improve diagnostic and treatment decision workflows.

DenSeeMammo is a software tool designed to assist radiologists by automatically estimating breast density from digital mammography images. It analyzes 2D mammograms and categorizes breast density according to the BI-RADS 5th Edition, providing additional information to aid breast cancer risk assessment. The final breast density assessment remains the responsibility of the qualified physician. This helps clinicians make consistent and informed evaluations of breast density, potentially improving screening and diagnosis.