FDA Radiology AI Devices

HealthICH is an AI software tool designed to analyze non-contrast head CT scans and identify suspected cases of intracranial hemorrhage. It notifies the clinician via the PACS/workstation to prioritize these urgent cases, helping reduce the time to diagnosis and potentially improving patient care. It operates alongside standard workflows and assists clinicians by flagging critical findings for faster review.

ClariCT.AI is a software tool designed to process and enhance CT scan images by reducing noise and improving image clarity. It supports images from various CT scanner manufacturers and helps clinicians by providing improved image quality, especially in low-dose CT scans, facilitating better diagnostic confidence without additional radiation exposure.

The Aquilion ONE (TSX-305A/6) V8.9 with AiCE is a whole body multi-slice helical CT scanner designed to acquire high-quality cross-sectional images of the whole body, including the head. It uses an advanced AI-powered reconstruction algorithm called AiCE to reduce image noise and improve image quality, helping clinicians to perform more accurate and detailed imaging across multiple anatomical regions like abdomen, pelvis, lung, and cardiac areas.

BriefCase is an AI-powered software that helps radiologists prioritize cervical spine CT scans by flagging possible fractures. It runs alongside standard image interpretation, notifying clinicians quickly about suspected cases to enable faster patient management, but it is not used for final diagnosis. This helps improve workflow efficiency and timely attention to urgent cases.

The Lung Vision System is a medical imaging tool designed to assist clinicians by processing radiological images of the lungs. It helps improve visualization and analysis, aiding in the detection and diagnosis of lung-related conditions.

BriefCase by Aidoc Medical, Ltd. is an AI-based radiology triage and notification software designed to assist radiologists by automatically analyzing head CT and chest CT pulmonary angiogram (CTPA) images. It detects suspected cases of Intracranial Hemorrhage and Pulmonary Embolism, providing timely notifications and compressed preview images to prioritize urgent cases. This facilitates faster review and potentially improves patient outcomes by allowing earlier intervention, while not replacing standard diagnostic processes.

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.

Bone VCAR is a software tool designed to assist clinicians in reviewing CT images that include the spine. It uses deep learning to automatically label vertebrae and provides optimized display settings to improve visualization and reporting efficiency across multiple care areas such as trauma and oncology.

iSchemaView RAPID is a software package that helps medical professionals view and analyze CT and MRI images, particularly to evaluate stroke patients for endovascular thrombectomy. It provides advanced image processing for perfusion, diffusion, and angiography to aid clinical decision-making.

vascuCAP is a medical image analysis software designed to help clinicians process and evaluate multidimensional CT images of arterial vessels. It provides tools to visualize vessels in 3D and measure key anatomical features such as lumen boundaries, vessel stenosis, and plaque characteristics. This assists physicians in stratifying patients with atherosclerosis by providing detailed vessel information to complement standard care.