FDA Radiology AI Devices

MAGNETOM Skyra Fit is a 3 Tesla MRI system by Siemens designed to produce detailed transverse, sagittal, coronal, and oblique cross-sectional magnetic resonance images and spectra of the head, body, and extremities. It assists clinicians by providing high-quality images and physical parameters helpful for diagnosis, and can also support imaging during interventional procedures.

The MAGNETOM Lumina and MAGNETOM Vida Fit with syngo MR XA50A are advanced MRI diagnostic systems that produce detailed cross-sectional images and spectra of the head, body, or extremities. The device uses sophisticated MRI pulse sequences and integrates deep learning-based reconstruction algorithms to produce high-quality images quickly and reliably, aiding physicians in diagnosis and in planning interventional procedures.

The Vantage Galan 3T, MRT-3020, V8.0 with AiCE Reconstruction Processing Unit is a 3 Tesla MRI system that produces detailed cross-sectional images of the head and body. It incorporates AI-powered image reconstruction (AiCE) and machine learning technologies to improve image quality, reduce artifacts, and assist in scan planning, helping clinicians obtain clearer and more precise diagnostic images efficiently.

The MAGNETOM Avanto Fit is a 1.5 Tesla magnetic resonance imaging (MRI) system that produces detailed images of the head, body, and extremities. It helps clinicians visualize internal structures and functions non-invasively, potentially including functional information, and can be used during interventional procedures. The device incorporates advanced hardware and software features to enhance image quality and operational efficiency.

The MAGNETOM Vida with syngo MR XA50A is an MRI system that produces detailed cross-sectional images and spectra of the head, body, or extremities to assist clinicians in diagnosis. It incorporates advanced AI-based image reconstruction algorithms such as Deep Resolve Swift Brain and Deep Resolve Boost to enable faster and higher-quality MRI scans, improving diagnostic workflows and patient outcomes.

SIGNA Hero is a whole body 3.0 Tesla MRI scanner from GE Healthcare that supports high resolution images with a high signal-to-noise ratio and short scan times. It produces detailed images of structures and functions throughout the body to aid physicians in diagnosis by providing axial, sagittal, coronal and oblique images, along with spectroscopic and dynamic imaging capabilities.

SIGNA Prime is a whole body magnetic resonance imaging (MRI) scanner that supports high resolution and fast scan times. It produces detailed images and spectroscopic data of various body regions, helping clinicians diagnose a wide range of conditions by showing the spatial distribution and molecular environment of tissues.

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.

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.

The SIGNA 7.0T is a high-performance whole-body magnetic resonance imaging (MRI) system designed to produce high-resolution images with high signal-to-noise ratio and short scan times. It supports imaging of the head and extremities in multiple planes and includes AI-driven image reconstruction software called AIR Recon DL, which enhances image quality by improving signal-to-noise ratio and sharpness without compromising low contrast detectability. This aids clinicians by providing clearer images for more accurate diagnoses.