FDA Radiology AI Devices

The MAGNETOM Sola, MAGNETOM Altea, and MAGNETOM Sola Fit are MRI systems designed to produce detailed cross-sectional images and spectroscopic data of the head, body, and extremities. They support advanced imaging workflows and reconstruction frameworks, helping clinicians diagnose medical conditions by providing clear internal images and physical parameters. The system can also assist in interventional procedures with MR-compatible devices.

LiverMultiScan v5 is software that helps clinicians assess liver health by analyzing MRI scans to generate detailed images and quantitative maps of liver tissue properties such as fat content, iron concentration, and T1 relaxation times. It aids doctors in diagnosis by providing automated liver segmentation and measurements that enhance non-invasive liver assessment.

The Swoop Portable MR Imaging System by Hyperfine, Inc. is a bedside portable MRI device designed to produce internal head images using magnetic resonance imaging. It allows clinicians to perform imaging at the point of care when full diagnostic exams are not practical. Its AI-enabled reconstruction algorithm enhances image quality by reducing noise and blurring for multiple MRI sequences, helping physicians with diagnosis.

The MAGNETOM Free.Max and MAGNETOM Free.Star are advanced magnetic resonance imaging (MRI) systems designed by Siemens. These devices produce detailed cross-sectional images of the body to help clinicians visualize internal structures and diagnose various conditions. Featuring new software and hardware enhancements, they provide improved imaging workflows, patient comfort with different bore sizes, and automated shoulder examination support, aiding physicians in accurate diagnosis and patient management.

The Swoop Portable MR Imaging System is a bedside portable MRI device designed for producing images of the internal structure of the head when full diagnostic exams are not feasible. It uses advanced AI-based image reconstruction algorithms to enhance image quality with reduced noise and blurring, aiding clinicians in diagnosis at the point of care, such as emergency rooms or critical care units.

AIR Recon DL is a deep learning-based software feature for GE Healthcare MRI systems that improves image quality by reducing noise and ringing artifacts in MRI images. It helps clinicians by enabling shorter scan times without losing image clarity, thus improving patient comfort and diagnostic accuracy across multiple anatomies and MR field strengths.

The Achieva, Ingenia, Ingenia CX, Ingenia Elition and Ingenia Ambition MR Systems by Philips are advanced 1.5 and 3.0 Tesla MRI machines that produce high-quality cross-sectional images to help physicians diagnose various conditions. They include AI-enhanced features like SmartSpeed AI for faster image acquisition without loss of quality, aiding clinicians with quicker and improved diagnostic imaging.

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.