FDA Radiology AI Devices

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.

The uMI Panorama is a diagnostic imaging system combining PET and CT scans to provide both functional and anatomical information of the body. It helps healthcare professionals detect and evaluate diseases in oncology, cardiology, and neurology by offering fused metabolic and anatomical images. The device includes AI-based software updates to improve image reconstruction and analysis, enhancing diagnostic accuracy and patient management.

Aquilion Serve (TSX-307A/1) V1.3 is a whole-body multi-slice helical CT scanner that captures detailed cross-sectional volume images including the head. It incorporates AiCE, an AI-powered noise reduction algorithm using deep convolutional neural networks to improve image quality and reduce noise. This helps clinicians obtain clearer images for specialized studies across multiple anatomical regions, aiding diagnosis and treatment planning while potentially reducing radiation dose.

The Vantage Galan 3T, MRT-3020, V9.0 with AiCE Reconstruction Processing Unit for MR is a 3 Tesla MRI system developed by Canon Medical Systems Corporation. It produces detailed cross-sectional images of the body and head using advanced AI-powered reconstruction techniques to enhance image quality, reduce artifacts, and improve workflow for clinicians. The device supports various deep learning-based features for motion correction, image resolution enhancement, noise reduction, and automated scan protocols, aiding diagnosis and patient care.

The ECHELON Synergy MRI system is an advanced 1.5 Tesla MRI scanner that generates high-quality diagnostic images of the head, body, spine, and extremities without ionizing radiation. It incorporates deep learning reconstruction (DLR) and other AI-powered functions like AutoPose and AutoClip to enhance image quality and improve workflow efficiency, helping radiologists diagnose conditions with improved image clarity and reduced scan times.

The Biograph Vision.X and Biograph Vision.X Edge are advanced combined PET and CT scanners that provide high-resolution images by fusing metabolic and anatomical information. These systems assist healthcare professionals in detecting, diagnosing, and monitoring diseases such as cancer, cardiovascular and neurological disorders, and support treatment planning and interventional procedures.

Sonic DL is a software feature by GE Healthcare that uses deep learning to reconstruct cardiac MR images much faster by processing under-sampled data. It allows highly accelerated imaging with preserved image quality, enabling faster and more efficient MRI scans for cardiac assessment in patients of all ages.

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.