FDA Radiology AI Devices

aprevo® Digital Segmentation is a software tool designed for trained medical personnel to process medical images of the spine, specifically the lumbar area. It uses AI algorithms to automatically segment the spine from DICOM images and generates a 3D model, aiding in clinical planning or design tasks related to spine anatomy.

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.

Sonix Health is a software product that assists clinicians in analyzing adult echocardiography ultrasound images. It uses artificial intelligence to automatically classify ultrasound views, segment anatomy, and perform semi-automated measurements, helping physicians quantify cardiac function more efficiently. The software generates reports based on B-mode, M-mode, and Doppler ultrasound images and supports manual verification and adjustment of AI results.

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.

ANDI is a software tool that processes diffusion-weighted MRI brain scans to create 3D maps of white matter tracts. It helps neurologists and radiologists by providing detailed visualization and measurements of brain white matter structures, serving as an adjunct tool for patient assessment without making diagnoses.

OptimMRI is a software tool that helps medical professionals analyze pre-operative brain MRI images by generating 3D annotated models. It supports neurosurgical planning by localizing key brain regions, helping doctors visualize and plan treatments more precisely.

uOmnispace is a medical image post-processing software solution that supports viewing, manipulation, annotation, and communication of various medical images from multiple modalities including CT, MRI, PET and DR. It includes AI-based segmentation tools like rib segmentation, and enables remote multi-user access and integration with medical imaging systems. It helps clinicians efficiently analyze and report on diagnostic images.

Axial3D Insight is a cloud-based service that processes medical imaging DICOM data to create detailed 3D digital files or physical 3D printed models. These models assist clinicians in treatment planning and diagnosis across orthopedic trauma, maxillofacial, and cardiovascular applications, improving surgical preparation and outcomes.

Bladder AI is a software designed to assist healthcare providers in measuring bladder volume from ultrasound images using machine learning. It supports image-based assessment, landmark placement, and report generation for patients aged 2 years and older, improving workflow efficiency and accuracy in bladder volume quantification.

DeepCatch is software that analyzes whole-body CT scans to automatically identify and measure various anatomical structures like skin, muscle, fat, internal organs, and the central nervous system. It produces 3D models and quantitative data to help doctors better understand the patient's body composition and anatomy, aiding clinical decisions by providing accurate volume and proportion measurements.