FDA Radiology AI Devices

THINQ is a medical imaging software device designed to automatically segment, label, and measure volumes of brain structures from 3D T1-weighted MRI scans. It provides clinicians with visual and quantitative reports comparing brain volumes to reference data, helping in the assessment of neurological conditions by automating brain morphometry.

The EyeBOX is an eye-tracking device designed to assist clinicians in diagnosing concussion by analyzing eye movements. Patients watch a video on a screen while a near-infrared camera records their eye gaze data. The device processes this data using advanced algorithms to detect subtle abnormalities in eye movement that indicate concussion, helping doctors make timely and accurate assessments.

AccipioIx is an AI-based software that processes non-contrast head CT scans to identify signs of acute intracranial hemorrhage. It helps clinicians prioritize urgent cases for faster review by analyzing images and flagging suspected hemorrhages, improving workflow efficiency in acute care settings.

The Vantage Orian 1.5T with AiCE Reconstruction Processing Unit for MR is a 1.5 Tesla MRI system from Canon that enhances image quality by using AI-powered noise reduction techniques. This advanced software algorithm uses deep learning to reduce thermal noise and improve signal clarity, especially in brain and knee imaging, helping clinicians obtain clearer and more diagnostically useful MRI images.

Rapid LVO is a software tool that helps hospitals and radiologists quickly identify and prioritize suspected cases of Large Vessel Occlusion (LVO) in head CT angiography images. It analyzes images using a software algorithm and provides notifications with preview images to assist clinical workflow, without replacing standard diagnostic procedures.

Rapid ASPECTS is an AI-powered software that helps doctors analyze CT brain scans to detect and score early signs of ischemic stroke by automatically segmenting brain regions and calculating an ASPECTS score. This aids clinicians in timely and accurate diagnosis, improving stroke assessment especially when expert radiologists are not immediately available.

CINA is an AI-based software that assists radiologists by analyzing head CT scans and CT angiographies to flag suspected cases of intracranial hemorrhage and large vessel occlusion. It provides timely notifications with preview images to help prioritize cases for quicker evaluation, improving workflow and patient care without altering original images or making direct diagnoses.

qER is an AI-powered software designed to analyze non-contrast head CT scans to detect critical conditions like intracranial hemorrhage, mass effect, midline shift, and cranial fractures. It assists clinicians by prioritizing urgent scans for review, helping to speed up diagnosis without altering the original image data.

AI-Rad Companion Brain MR is a software tool that helps clinicians analyze and evaluate brain MRI scans. It automatically segments and measures various brain structures, compares them with data from healthy individuals, and presents this information in an easy-to-understand report. This aids in diagnosis and treatment planning for patients with neurological conditions.

NinesAI is a software tool that uses artificial intelligence to automatically analyze head CT images for signs of intracranial hemorrhage and mass effect. It helps prioritize critical cases by notifying radiologists of potential emergencies to assist in timely and effective patient care. The software works alongside standard workflows and does not replace full clinical evaluation or diagnosis.