FDA Radiology AI Devices

Spectral Bone Marrow is an automated deep learning-based software designed for spectral CT images of the body and extremities. It segments bone regions and creates enhanced, color-coded images to help radiologists better visualize bone marrow. This assists in diagnosing traumatic and non-traumatic bone conditions more efficiently by providing improved image visualization and an automated clinical workflow.

Deep Learning Image Reconstruction (DLIR) by GE Medical Systems is an AI-powered CT image reconstruction method that uses a deep neural network to produce high-quality cross-sectional images of the head and whole body. It supports multiple CT acquisition types and enhances image quality by reducing noise and artifacts, helping clinicians get clearer and more accurate imaging results.

MaxFOV 2 is a software option for GE CT scanners that uses deep learning to extend the display field of view in CT images beyond the scanner's nominal field, providing improved visualization of patient anatomy, especially useful in radiation therapy planning and for large patients. This helps clinicians obtain more complete images for diagnosis and treatment planning when parts of the body are outside standard scan coverage.

Deep Learning Image Reconstruction for Gemstone Spectral Imaging by GE Medical Systems is an AI-powered CT image reconstruction method designed to produce high-quality cross-sectional CT images from dual-energy X-ray data. It is intended for whole body, vascular, and contrast-enhanced head CT applications, enhancing image quality with a deep neural network-based algorithm that improves low contrast detectability, noise reduction, and artifact suppression, supporting accurate and reliable diagnosis.

Deep Learning Image Reconstruction by GE Medical Systems is a software option for CT scanners that uses a dedicated deep neural network to generate high-quality cross-sectional images of the head and whole body from X-ray transmission data. It improves image quality while maintaining noise performance and spatial resolution, supporting routine clinical workflows for head, whole body, cardiac, and vascular CT scans across all ages.