FDA Radiology AI Devices

Quantib ND is a software application that automatically labels, visualizes, and measures volumes of brain structures and white matter abnormalities from MR brain scans. It helps radiologists by providing detailed quantitative data and visual segmentations to assist in assessing and tracking neurological conditions.

LiverSmart is a software that automatically analyzes MRI images of the liver to measure both liver iron concentration and liver fat content. It processes images according to established protocols and generates a comprehensive report that assists clinicians in diagnosing and monitoring liver conditions such as iron overload and fatty liver disease, supporting treatment decisions and research.

BoneMRI is a software application that enhances MRI images to improve visualization of bone structures in the pelvic region, including the sacrum, hip bones, and femoral heads. It processes 3D MRI scans using a convolutional neural network algorithm to create enhanced images that help radiologists and orthopedic surgeons in assessing bone morphology and radiodensity without needing CT scans.

VBrain is a software tool that helps medical professionals in planning radiation therapy for brain tumors. It uses artificial intelligence, specifically deep learning neural networks, to automatically outline brain tumors and organs at risk on MRI scans of the brain. This assists clinicians by providing initial contours that they can review and adjust, improving workflow efficiency and accuracy in treatment planning.

The Vantage Fortian 1.5T, MRT-1550, V8.0 with AiCE Reconstruction Processing Unit for MR is a 1.5 Tesla MRI system that produces detailed cross-sectional images of the body or head. It incorporates AI-based reconstruction and machine learning technologies to enhance image quality and assist in planning scans, improving diagnostic accuracy and patient comfort.

OnQ Neuro is an automated software device designed to analyze neurological MRI images, specifically for brain tumors. It performs automatic segmentation and quantification of tumor volumes and diffusion-weighted imaging data, helping clinicians assess tumor progression and treatment response more efficiently by providing quantitative and graphical image data that can be integrated into clinical workflows.

The Swoop Point-of-Care Magnetic Resonance Imaging (POC MRI) System by Hyperfine, Inc. is a portable MRI device designed to provide bedside imaging of the brain. It uses advanced deep learning for image reconstruction to reduce noise and blurring, enabling clinicians to view internal head structures more clearly. This system facilitates quicker and more accessible brain imaging in various care settings, aiding in diagnosis without the need to transport patients to traditional MRI suites.

SwiftMR is a software medical device designed to automatically enhance brain MRI images by reducing noise and improving image sharpness. It processes MRI scans in DICOM format using advanced deep learning models, helping radiology professionals obtain clearer images for better diagnosis and clinical decision-making without interrupting their workflow.

VBrain-OAR is a software device from Vysioneer Inc. designed to assist trained radiotherapy personnel in brain tumor radiation therapy treatment planning by automatically generating contours of organs at risk in brain MRI images using AI deep learning. It also provides image registration functions to align multi-modality medical images. This device supports clinicians by providing initial contour outlines to improve the efficiency and consistency of radiation treatment planning, while still requiring final confirmation by qualified personnel.

breastscape v1.0 is an advanced software tool used with Olea Sphere 3.0 to assist breast imaging physicians and MRI technologists in analyzing breast MRI data. It provides visualization, semi-automatic lesion segmentation, kinetic curve analysis, and planning assistance for MR-guided breast biopsy procedures, helping clinicians detect and characterize breast lesions and plan interventions more effectively.