FDA Radiology AI Devices

The SOMATOM go series by Siemens Medical Solutions USA, Inc., comprises advanced CT scanner systems used in radiology to produce detailed cross-sectional images of the body. These devices assist clinicians by providing high-quality computed tomography images that support diagnosis and treatment planning for various medical conditions.

RadUnity (Version 1.0.0) is a software device designed to centralize, manage, standardize, and network CT images using the DICOM protocol. It reformats CT medical images according to user-defined preferences to ensure consistent image formatting, thus supporting qualified radiology professionals in preparing images for interpretation. It is not intended for primary diagnostic review nor for mammographic image interpretation.

BriefCase-Quantification is an AI-based software that analyzes contrast-enhanced CT scans to measure aortic diameters at key anatomical landmarks, helping clinicians assess normal and aneurysmal aortas. It processes CT images in a cloud environment, produces measurement results for review, and is intended to assist but not replace radiologist evaluations.

CT Collaboration Live is a software application integrated into Philips CT systems that enables real-time remote communication for consultation, training, and support via chat, audio/video calls, screen sharing, and remote control. It facilitates collaboration between CT system operators and remote clinical users but is not intended for remote diagnostic image review.

NeuroICH is a software tool designed to analyze non-contrast CT scans of the head using artificial intelligence to detect signs of intracranial hemorrhage. It provides notifications to specialist clinicians via a mobile app, helping to prioritize patient care without replacing standard diagnostic procedures.

BriefCase-Triage is an AI-powered software designed to analyze CT scans of the cervical spine in adults, helping hospital networks and medical specialists by flagging potential fractures. It provides notifications and preview images of suspected cases, enabling faster prioritization of urgent findings to improve clinical workflow and patient care, while not altering original diagnostic images.

The Spectral CT 7500 RT is an advanced computed tomography (CT) system that uses dual-layer detector technology to acquire high and low energy X-ray data simultaneously. This allows it to generate detailed cross-sectional images and analyze the chemical composition of tissues and contrast agents. It supports applications in radiology, cardiology, oncology, and radiation therapy planning, helping clinicians visualize and assess anatomical and pathological structures more accurately.

JLK-CTP is an image processing software that helps trained medical professionals analyze brain CT perfusion images. It automatically receives, processes, and visualizes dynamic CT perfusion datasets to calculate blood flow and volume parameters, aiding in the assessment of cerebral blood flow and tissue status in brain imaging.

AutoChamber is an AI-powered software tool designed to analyze both non-contrast and contrast-enhanced chest CT scans to automatically measure and report volumes of cardiac chambers including left atrium, left ventricle, right atrium, right ventricle, and left ventricular wall. It assists healthcare providers by providing quantitative imaging data that helps identify conditions such as enlarged heart and left ventricular hypertrophy, thus aiding in further clinical evaluation and management of cardiovascular risk.

LungVision is an AI-powered software system that helps clinicians navigate tools within the lungs during procedures. It combines previously acquired 3D CT images with real-time fluoroscopic X-ray images to provide detailed guidance for targeting lung lesions, thus enhancing the precision of pulmonary interventions.