FDA Radiology AI Devices

Deep Learning Image Reconstruction by GE Healthcare Japan Corporation is a deep learning based software integrated into CT scanners to reconstruct high-quality cross-sectional images of the head, whole body, cardiac, and vascular systems. It uses a trained deep neural network to reduce image noise and artifacts while maintaining spatial resolution, aiding clinicians in obtaining clearer diagnostic images with routine CT throughput.

The Ingenia series MR Systems by Philips Medical Systems Nederland B.V. are advanced MRI devices that produce detailed cross-sectional images and spectra of the head, body, and extremities. Utilizing strong magnetic fields and radio signals, these systems aid physicians in diagnosing diseases, planning treatments, and guiding minimally invasive procedures by providing high-quality images. The new Precise Image software feature enhances image quality by employing deep learning to improve sharpness and reduce noise and artifacts, facilitating better clinical assessment.

MAGNETOM Amira and MAGNETOM Sempra are magnetic resonance imaging (MRI) systems designed to produce detailed images and spectra of the head, body, and extremities. They include advanced AI-powered image reconstruction features such as Deep Resolve Boost and Deep Resolve Sharp, which enhance image quality and sharpness. These systems assist clinicians by providing faster, higher-quality images to improve diagnosis and guide interventions.

The uMI Panorama is a diagnostic imaging system that combines PET and CT imaging modalities to provide detailed metabolic and anatomical information. It assists clinicians in detecting, diagnosing, staging, and managing diseases, inflammation, infection, and disorders in multiple clinical fields. This system can also independently function as a CT scanner for lung cancer screening and delivers enhanced image reconstruction through AI algorithms, improving image quality and diagnostic accuracy.

The Aquilion Precision (TSX-304A/4) V10.14 with AiCE is an advanced whole-body CT scanner that leverages AI through deep convolutional neural networks to reduce image noise and improve image quality. It also uses an iterative reconstruction algorithm to reduce radiation dose while enhancing spatial resolution. This helps clinicians obtain clearer and more detailed images to support diagnosis and treatment planning across various body regions, including abdomen, chest, brain, and extremities.

The Aquilion Serve (TSX-307A/1) V1.2 with AiCE-i is a whole-body multi-slice helical CT scanner enhanced with AiCE, an AI-based noise reduction algorithm using deep convolutional neural networks. It improves image quality and reduces noise for abdomen, pelvis, lung, cardiac, extremities, head, and inner ear scans, helping clinicians obtain clearer diagnostic images faster and with potentially reduced radiation dose.

The Swoop Portable MR Imaging System by Hyperfine is a bedside portable MRI device designed to produce images of the internal structure of the head. It uses magnetic resonance imaging with advanced image reconstruction algorithms that include deep learning to enhance image quality by reducing noise and blurring. This helps clinicians obtain diagnostic images even when full diagnostic examination is not practical, aiding diagnosis at the point of care in facilities such as emergency and critical care units.

The uCT ATLAS Astound with uWS-CT-Dual Energy Analysis is an advanced CT scanner designed to produce cross-sectional images of various body regions, including head, whole body, cardiac, and vascular areas. It integrates deep learning for image reconstruction to enhance image quality and reduce noise, and includes software for dual energy analysis to differentiate tissue types based on their chemical composition. This aids clinicians in lung cancer screening and detailed anatomical evaluation, supporting early diagnosis and treatment.

The uMR 680 is a 1.5 Tesla superconducting magnetic resonance imaging (MRI) system designed to produce diagnostic-quality images of the head, body, and extremities. It includes a deep-learning based image processing algorithm called DeepRecon for image denoising and super-resolution, enhancing image quality and assisting clinicians in diagnosis.

The SIGNA Victor is a 1.5 Tesla whole body MRI scanner designed to provide high-resolution diagnostic images quickly and with a high signal-to-noise ratio. It produces images in multiple planes and supports imaging of the entire body, including brain, spine, joints, heart, abdomen, and more, aiding clinicians in diagnosing a variety of conditions.