FDA Radiology AI Devices

MAGNETOM Cima.X Fit is a magnetic resonance imaging (MRI) system by Siemens that produces detailed cross-sectional images of the body, head, or extremities. It incorporates AI-driven software features to enhance image quality and accelerate scanning, helping clinicians diagnose by providing clearer and faster MRI scans.

The Revolution Ascend Sliding is a CT X-ray system designed to generate detailed cross-sectional images of the body, including head, whole body, cardiac, and vascular areas. Uniquely, it features a gantry mounted on a transporter allowing linear movement on rails, improving patient workflow by enabling imaging and treatment procedures in the same room without moving the patient. It supports a range of acquisition modes and image processing features to aid clinicians in diagnosis and therapy monitoring.

The SIGNA Champion is a 1.5 Tesla whole body magnetic resonance imaging (MRI) scanner designed to produce high-resolution diagnostic images quickly. It can image multiple body regions including the head, neck, spine, chest, abdomen, pelvis, joints, and more, using various scan planes and sequences to help physicians diagnose medical conditions. It supports advanced imaging techniques and uses standard MRI technology enhanced by new software and hardware components to improve image quality and workflow.

MAGNETOM Sola and MAGNETOM Altea are advanced MRI systems designed to produce high-quality transverse, sagittal, coronal, and oblique cross-sectional images. They include AI-powered features such as Deep Resolve Boost and Deep Resolve Sharp for enhanced image reconstruction, improving image quality and diagnostic accuracy. These systems assist clinicians in diagnosis by providing improved visualization of internal structures and functions across the head, body, and extremities, and can also be used during MR-guided interventional procedures.

MAGNETOM Cima.X is an advanced magnetic resonance imaging (MRI) system designed to produce detailed images and spectroscopic data of the head, body, and extremities. It incorporates new and modified hardware and software features including deep learning-based reconstruction methods to enhance image quality and speed, helping clinicians in diagnosis and interventional imaging procedures.

MAGNETOM Free.Max and MAGNETOM Free.Star are magnetic resonance diagnostic devices produced by Siemens that generate high-quality MRI images of the head, body, or extremities in multiple planes. These systems assist clinicians in diagnosis and can be used during interventional procedures with MR-compatible tools. They incorporate advanced AI-powered features to enhance image quality and scanning efficiency.

The MAGNETOM Vida, Lumina, Aera, Skyra, Prisma, and Prisma fit are advanced magnetic resonance imaging (MRI) systems designed to produce detailed cross-sectional and spectroscopic images of the body, head, and extremities. Equipped with new hardware and software improvements including AI-based image reconstruction techniques, these systems help clinicians obtain high-quality images to assist in diagnosis and interventional procedures.

SpotLight/SpotLight Duo (with DLIR option) is a CT scanner that produces cross-sectional images of the body, including cardiovascular and thoracic anatomies. It uses a dual-tube CT system and advanced deep learning reconstruction to enhance image quality while reducing noise. This helps clinicians obtain clearer diagnostic images for disease detection and therapy planning.

The NeuViz 128 Multi-Slice CT Scanner System by Neusoft Medical Systems is a CT scanner designed for whole body imaging, producing cross-sectional images to help clinicians diagnose various medical conditions. It incorporates advanced AI-powered reconstruction methods to reduce noise and enhance image quality, potentially lowering radiation dose for patients while improving diagnostic capabilities.

The Swoop Portable MR Imaging System by Hyperfine, Inc. is a portable, ultra-low field MR imaging device designed to produce images of the internal structures of the head. It uses deep learning algorithms to improve image quality by reducing noise and blurring, helping clinicians at the point of care obtain diagnostic information even when full diagnostic exams are impractical.