FDA Radiology AI Devices

This product is a family of Philips MRI systems designed to produce detailed images of the body's internal structures. These MRI machines help doctors and clinicians by providing high-quality images that assist in diagnosing a variety of medical conditions across different body regions without using ionizing radiation.

The ECHELON Synergy V10.0 MRI system by Fujifilm Healthcare Americas Corporation is an advanced magnetic resonance imaging device that produces detailed cross-sectional images of the body using non-ionizing magnetic fields. It helps physicians diagnose various conditions by providing high-quality images reflecting tissue properties such as proton density and relaxation times. This system includes updated software features with AI-powered image processing to improve image quality and workflow efficiency, benefiting both clinicians and patients.

uMR Jupiter is a 5 Tesla superconducting MRI system developed by Shanghai United Imaging Healthcare Co., Ltd. It generates detailed anatomical and functional images of the head, body, and extremities to assist clinical diagnosis. The device features advanced AI-accelerated image reconstruction technology, enhancing image quality and scan speed, supporting clinicians in making accurate and timely diagnoses.

The Vantage Fortian/Orian 1.5T, MRT-1550, V9.0 is a 1.5 Tesla magnetic resonance imaging (MRI) system developed by Canon Medical Systems. It incorporates AI-based technologies in its reconstruction processing unit (AiCE) to improve image quality, reduce scan time, and assist operators. This system aids clinicians by producing high-resolution images of anatomical structures of the head and body, facilitating accurate diagnosis and efficient workflow.

The uMR 680 is a 1.5T superconducting magnetic resonance imaging device that produces detailed anatomical and functional images to assist physicians in diagnosis. It includes components such as magnets, RF coils, and software for imaging the head, body, and extremities, helping clinicians with diagnostic imaging using MRI technology.

The uMR Omega is a 3.0 Tesla superconducting MRI system designed for producing high-quality cross-sectional images and spectroscopic images of the head, body, and extremities. It helps clinicians diagnose by providing detailed anatomical and functional images that can be interpreted by trained physicians. This device is designed to meet industry imaging standards and includes advanced components such as RF coils and gradient amplifiers to ensure high image quality.

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 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.