FDA Radiology AI Devices

Brainomix 360 Triage ICH is a software tool that uses artificial intelligence to analyze non-contrast brain CT images in acute settings to detect suspected intracranial hemorrhages. It notifies specialists promptly to prioritize patient care and improve workflow efficiency by providing timely alerts via mobile and web applications. It supports clinicians by assisting triage but does not replace diagnostic evaluation.

The Rapid Aneurysm Triage and Notification device by iSchemaView Inc. is an AI-powered software designed to analyze CT angiography images of the head to detect suspected saccular aneurysms. It helps hospital networks and radiologists by prioritizing cases with potential aneurysms for faster review, improving workflow in routine patient care. The software provides notifications and compressed preview images for informational use, supporting radiologists in triage but not intended for diagnosis.

The uMI Panorama is a PET/CT system that provides combined metabolic and anatomical imaging to assist healthcare professionals in detecting, diagnosing, staging, and managing various diseases including oncology, cardiology, and neurology conditions. It supports both PET and standalone CT imaging and can be used for low dose CT lung cancer screening, enhancing patient care with fused functional and anatomical images.

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.

Sonio Detect is a software tool that uses machine learning to help healthcare professionals during fetal ultrasound exams by automatically detecting views, anatomical structures, and verifying the quality of images in real-time. This supports sonographers and fetal specialists to ensure comprehensive and high-quality ultrasound examinations for fetuses from 11 to 37 weeks gestational age.

UltraSight AI Guidance is a mobile AI-based application that helps non-expert medical professionals acquire high-quality cardiac ultrasound images by providing real-time guidance on how to position and manipulate the ultrasound probe for standard transthoracic echocardiography views. It enhances image acquisition quality and enables better diagnosis even by novice users.

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.

syngo.CT Lung CAD (Version VD30) is a computer-aided detection tool developed by Siemens Healthcare GmbH to help radiologists identify solid and subsolid pulmonary nodules in chest CT scans. The software highlights regions that might be overlooked, improving the accuracy and efficiency of lung nodule detection during radiological review. It can operate as a first or second reader and includes a mode to filter out subsolid and fully calcified nodules for focused analysis.

Brainlab Elements is a suite of software applications that process and analyze medical image data from various modalities to assist clinicians in planning surgeries and radiation treatments. It offers tools for image registration (fusion), segmentation (contouring), diffusion tensor imaging (fibertracking), blood oxygen level dependent MRI analysis (BOLD MRI mapping), and cerebrovascular image fusion (Image Fusion Angio). These capabilities help improve precision and understanding of patient anatomy and function during clinical procedures.