FDA Radiology AI Devices

LumiNE US is a visualization software designed to help neurosurgeons and medical professionals prepare for surgery by converting 2D MRI and CT images into 3D models using AI-based segmentation. It enables visualization through augmented reality using head-mounted displays, assisting in understanding brain tumors and anatomy before surgery. The software is not intended for diagnostic use but to support surgical planning by providing enhanced image insights.

NeuroQuant is an automated software device designed to help clinicians by providing automatic labeling, visualization, and volumetric measurement of brain structures and lesions from MRI scans. It enhances clinical workflow by delivering segmented images and morphometric reports that can be reviewed and compared to normative data, aiding in diagnosis and monitoring of neurological conditions.

OptimMRI (v2) is a software application that processes MRI brain images to generate detailed 3D annotated models highlighting specific brain regions. It helps clinicians in planning neurosurgical procedures by localizing critical brain nuclei, thus supporting accurate functional planning and improving surgical outcomes.

The i2Contour by MRIMath LLC is a web-based AI-assisted software designed to semi-automatically segment and quantify glioblastoma tumors from MRI scans. It helps trained medical professionals by providing initial tumor contours which can be reviewed and manually adjusted, enabling accurate tumor volume assessments for patients with pathologically confirmed glioblastoma. This facilitates monitoring tumor progression or treatment response but is not intended for primary diagnosis.

The SIS System by Surgical Information Sciences, Inc. is an advanced software tool that assists clinicians, including surgeons, neurologists, and radiologists, by providing detailed visualization and 3D models of specific brain structures. It uses machine learning models trained on high-resolution MR images to aid in planning and guiding deep brain stimulation surgeries and other neurological procedures, helping to precisely locate key brain areas and implanted leads for improved surgical outcomes.

Viz HDS by Viz.ai is an AI-powered software that automatically labels, visualizes, and measures critical brain structures such as intracranial hyperdensities, lateral ventricles, and midline shift on non-contrast head CT scans. This automation helps radiologists quickly and accurately assess brain abnormalities by providing detailed volumetric data and annotated images, improving workflow and diagnostic efficiency.

Rapid (6.0) by iSchemaView, Inc. is a medical imaging software designed to process and analyze dynamic and functional imaging data from CT and MRI scans. It aids clinicians by providing advanced visualization, quantification, and analysis tools to help select acute stroke patients for treatment, enhancing diagnostic confidence and workflow efficiency.

iQ-solutions is a software device designed to automatically identify, annotate, and measure specific brain structures on MRI scans. It helps clinicians by accelerating the quantification process, providing detailed volume analysis reports that support the assessment of brain anatomy and changes over time. The software improves workflow efficiency and consistency in brain MRI analysis.

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.