FDA Radiology AI Devices

QP-Brain® is an AI-powered medical imaging software that automatically segments and measures brain structures and white matter hyperintensities from MRI scans. It assists clinicians by providing volumetric data and comparison to normative references, supporting assessment of brain MRIs in adults and adolescents.

syngo.via MI Workflows, including Scenium and syngo MBF, is software that helps healthcare professionals analyze medical images from multiple modalities such as PET, SPECT, CT, and MR. It aids disease management in oncology, cardiology, neurology, and organ function by providing tools for image viewing, quantification, comparison, and radiotherapy planning. The software integrates advanced AI algorithms for automating organ segmentation and supports new workflows such as tau quantification in brain imaging, thus improving diagnostic and treatment planning efficiency.

Brainomix 360 Triage Stroke is an AI-powered radiological software that analyzes non-contrast head CT scans to detect suspected large vessel occlusions and intracranial hemorrhages. It helps clinicians by prioritizing and notifying cases that require urgent attention, improving workflow efficiency in the acute stroke setting. The device presents notifications through a web interface or mobile app, but is not intended for primary diagnosis and should be used alongside standard clinical assessments.

BriefCase-Quantification is an AI-powered software that automatically measures brain midline shift in non-contrast head CT scans, assisting medical specialists by automating a typically manual measurement process. It provides quantitative analysis and comparative reports over time to help clinicians monitor patients, without altering original images or serving as a standalone diagnostic tool.

Rapid SDH is an AI-based software that helps radiologists prioritize and triage head CT scans by detecting suspected hemispheric subdural hemorrhage (SDH). It analyzes non-contrast head CT images in parallel with standard readings and provides timely notifications with preview images for informational use, assisting clinicians in workflow management to improve patient care.

AI-Rad Companion Brain MR is a software tool that helps clinicians by automatically analyzing MRI brain images. It segments and measures brain structures and white matter hyperintensities, compares these measurements with healthy reference data, and visually presents the results. This assists in evaluating brain changes over time, improving diagnostic workflow and patient monitoring in neurological conditions.

Veuron-Brain-pAb3 is advanced software that processes PET and MRI brain images to help clinicians detect and quantify amyloid protein concentration as an aid in diagnosing dementia. It automates image registration, fusion, and calculates standard uptake value ratios (SUVR) to visualize and analyze brain pathologies, improving diagnostic accuracy and workflow efficiency.

The Swoop Portable MR Imaging System by Hyperfine, Inc. is a portable, ultra-low field MR imaging device designed to produce images of the internal structures of the head. It uses deep learning algorithms to improve image quality by reducing noise and blurring, helping clinicians at the point of care obtain diagnostic information even when full diagnostic exams are impractical.

The EFAI NeuroSuite CT ICH Assessment System by Ever Fortune.AI is AI-based software that analyzes adult non-contrast head CT scans to detect signs of acute intracranial hemorrhage. It helps radiologists prioritize urgent cases by sending triage notifications to their imaging workstations, enabling faster clinical assessment. This tool supports but does not replace clinician review.

VUNO Med-DeepBrain is an AI-powered medical software designed to automatically label, quantify, and visualize brain structures and lesions from MR images. It helps clinicians by automating manual brain segmentation processes, providing volumetric data along with visual color maps and reports, facilitating brain diagnosis and tracking over time in a clinical environment.