FDA Radiology AI Devices

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 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 Philips CT 3500 is a computed tomography X-ray system designed to produce detailed images of the head, whole body, cardiac, and vascular regions. It supports diagnostic imaging and low dose lung cancer screening using advanced imaging features and includes AI-based image reconstruction for improved image quality at reduced dose, helping clinicians with early detection and diagnosis.

The Aquilion Precision (TSX-304A/4) V10.10 with AiCE is a whole-body CT scanner with ultra-high resolution that uses advanced AI deep convolutional neural networks to reduce image noise and enhance image quality, particularly for abdominal, pelvic, lung, and cardiac scans. It helps clinicians obtain clearer, more detailed images while potentially reducing radiation dose, thereby improving diagnostic confidence and patient care.

Deep Learning Image Reconstruction by GE Healthcare is a software solution that uses a specialized deep neural network to reconstruct high-quality CT images from raw X-ray data. It produces images with less noise and improved image quality while maintaining low radiation dose. It supports head, whole body, cardiac, and vascular CT scans, helping clinicians obtain clearer images for diagnosis.

The Aquilion ONE with Spectral Imaging System is a whole body multi-slice helical CT scanner that captures high-resolution cross-sectional images of organs like brain, heart, and pancreas. It employs advanced AI-based reconstruction (PIQE) to enhance image quality and reduce noise, especially for cardiac applications. The accompanying Vitrea Software Package provides advanced imaging analysis applications, including spectral CT analysis, coronary artery analysis, and visualization tools assisting clinicians in diagnosis and treatment planning.

The Philips Incisive CT is an advanced whole-body computed tomography system used to acquire detailed images of the head, body, heart, and vascular structures. It helps clinicians diagnose various conditions and supports low-dose lung cancer screening, improving patient care by providing high-quality diagnostic images efficiently.

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.

The Revolution Ascend is a CT scanner designed to generate detailed cross-sectional images of various body parts including the head, whole body, cardiac, and vascular areas. It uses x-ray transmission data taken at different angles and planes. The device supports multiple acquisition modes and post-processing of images, aiding clinicians in diagnosing disease, trauma, and abnormalities, as well as planning and monitoring therapy.