FDA Radiology AI Devices

The NAEOTOM Alpha is a dual-source computed tomography (CT) scanner developed by Siemens Medical Solutions. It uses advanced photon-counting detector technology and incorporates AI-driven image reconstruction and post-processing software to produce highly detailed cross-sectional images. This device assists trained clinicians in diagnosing and treating patients, including applications like low-dose lung cancer screening in high-risk populations. It features enhanced workflow tools, integrated needle guidance for interventions, and supports sophisticated quantitative imaging techniques.

The SOMATOM go. Platform and SOMATOM X. Platform CT scanners, produced by Siemens Medical Solutions USA, Inc., are advanced computed tomography systems designed to generate detailed cross-sectional images of patients. These devices aid healthcare professionals in diagnosis, treatment planning, and radiation therapy across a variety of clinical scenarios, including lung cancer screening. The systems feature a fan-beam CT technology, sophisticated software for image reconstruction and optional AI-assisted workflow enhancements such as automated needle detection for intervention procedures, and innovative camera-based patient positioning workflows. They improve clinical accuracy and efficiency while ensuring patient comfort and safety.

syngo.CT Brain Hemorrhage by Siemens Medical Solutions is an AI-powered software that helps radiologists prioritize CT scans suspected of having intracranial or subarachnoid hemorrhages. It analyzes head CT images to flag cases for earlier review, improving workflow efficiency. This software is not for diagnosis but supports clinicians by highlighting urgent cases based on AI detection of hemorrhages.

AI-Rad Companion (Pulmonary) by Siemens Healthcare GmbH is software that uses machine learning and deep learning to analyze previously acquired chest CT scans. It helps radiologists and physicians segment lungs and lung lobes, identify and measure solid and sub-solid lung nodules, and track changes over time. This supports clinicians in assessing lung diseases, improving workflow efficiency and diagnostic accuracy.

CINA-ASPECTS is a computer-aided diagnosis software designed to assist clinicians in evaluating brain tissue abnormalities using CT scans. It automatically analyzes regions of the brain affected by ischemic stroke, computes a standardized ASPECT score, and provides visual and quantitative data to support timely and accurate diagnosis of early acute stroke injury.

CINA-iPE is an AI-powered software that analyzes contrast-enhanced CT scans (not dedicated CTPA) to help detect incidental pulmonary embolisms. It flags suspected positive cases in real-time to assist radiologists in prioritizing patients and improving workflow efficiency. It operates alongside standard care without altering original images and provides informative preview notifications but does not replace diagnostic review.

The iCAS-LV software from HighRAD Ltd. is an advanced image analysis tool that helps physicians visualize and evaluate liver lesions in CT scans. It uses interactive segmentation, automatic registration, and volume measurement to track lesions' size, shape, and changes over time, supporting clinical decision-making without replacing physician judgment.

inHEART Models is a suite of medical imaging software tools designed to assist physicians, cardiologists, and radiologists by automatically processing CT images to create 3D models of the heart. It uses AI for automatic segmentation and visualization, helping clinicians better interpret cardiac anatomy for diagnosis and treatment planning.

CT Cardiomegaly is a command-line software tool designed to automatically measure the cardiothoracic ratio from CT chest images. It uses machine learning algorithms to segment the heart and thoracic cavity and calculate both linear and area-based cardiothoracic ratios. This assists physicians in identifying cardiomegaly, providing quantitative measurements to support clinical decisions within healthcare settings.

The Revolution Ascend Sliding is a CT X-ray system designed to generate detailed cross-sectional images of the body, including head, whole body, cardiac, and vascular areas. Uniquely, it features a gantry mounted on a transporter allowing linear movement on rails, improving patient workflow by enabling imaging and treatment procedures in the same room without moving the patient. It supports a range of acquisition modes and image processing features to aid clinicians in diagnosis and therapy monitoring.