FDA Radiology AI Devices

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.

Precise Image is an AI-powered reconstruction software for computed tomography (CT) systems developed by Philips. It produces high-quality images with lower radiation dose and noise, improving the detectability of low contrast features. This helps clinicians obtain clearer diagnostic images from CT scans of the head, body, and vascular regions, enhancing patient safety by reducing radiation exposure while maintaining image quality.

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.

SubtlePET is an advanced software tool designed to improve the quality of PET medical images by reducing noise. Utilizing deep learning algorithms, it enhances image clarity, aiding radiologists and nuclear medicine physicians in interpreting PET scans more accurately. This software integrates smoothly into existing radiology workflows by receiving, processing, and forwarding DICOM images, supporting multiple radiotracers used in PET imaging.

Deep Learning Image Reconstruction by GE Healthcare is a software that uses deep neural networks to reconstruct high-quality CT images from X-ray transmission data. It helps radiologists by producing images with improved noise reduction, spatial resolution, and artifact suppression, suitable for head, whole body, cardiac, and vascular CT scans at routine clinical throughput.

The Aquilion Exceed LB is a whole-body multi-slice helical CT scanner that captures detailed cross-sectional images of the body, including the head. It incorporates AiCE, an AI-based noise reduction algorithm using deep convolutional neural networks, to improve image quality and reduce noise. This helps clinicians obtain clearer, more accurate diagnostic images for various body regions, including abdomen, pelvis, lung, cardiac, extremities, head, and inner ear.

The Discovery MI Gen2 is a PET/CT imaging system by GE Medical Systems designed to produce detailed attenuation-corrected PET images combined with CT scans. It helps clinicians by providing anatomically localized images of radiopharmaceutical distribution, aiding diagnosis, treatment planning, and monitoring of diseases such as cancer, neurological disorders, and cardiac conditions across various body regions.

The uCT ATLAS with uWS-CT-Dual Energy Analysis is a multi-slice CT scanner designed for producing cross-sectional images of the whole body and specific organs using advanced imaging technology. It features fast scanning with high spatial and temporal resolution, low radiation dose, and AI-based enhancements for image quality and patient positioning. Its dual energy analysis software helps differentiate tissue composition using CT images acquired at different energy levels, aiding diagnostic insights.

The Vereos PET/CT is an advanced diagnostic imaging device that integrates PET and CT technologies to produce detailed anatomical and functional images of the whole body and major organs. It helps clinicians detect, localize, diagnose, and monitor diseases in oncology, cardiology, and neurology with improved image quality by employing an AI-powered adaptive reconstruction algorithm, enhancing diagnostic confidence and treatment planning.