FDA Radiology AI Devices

Quantib Prostate is a software tool that helps medical professionals analyze prostate MRI images. It automatically segments the prostate and its subregions, supports visualization with multiparametric MRI, and assists in identifying and editing potential lesions. By streamlining these tasks, it aids radiologists in interpreting prostate MRI studies more efficiently and effectively.

Ezra Flash is a software tool that uses AI (convolutional neural networks) to enhance brain MRI images by reducing noise. It supports 3-Tesla Siemens and GE MRI scanners for specific sequences, providing clearer images to assist radiologists in diagnosis without altering the original images.

Limbus Contour is a software tool that automatically segments CT and MRI images to help radiation oncologists, dosimetrists, and medical physicists create precise contours of healthy anatomical structures. These contours are used as inputs for radiation treatment planning, improving accuracy and efficiency in therapy. The software integrates with existing treatment planning systems and image viewers, assisting in contour creation, modification, and management without displaying images directly.

FlightPlan for Embolization by GE Medical Systems SCS is a software application that processes 3D X-ray angiography images to help clinicians visualize blood vessels during the planning phase of embolization procedures. It uses AI-powered algorithms to automatically segment vasculature and define root points, assisting physicians in better treatment planning. This enhances clinical decision-making but is not intended for use during the delivery of therapy itself.

The Xeleris V Processing and Review System by GE Healthcare is a software platform designed for processing, reviewing, and analyzing nuclear medicine and PET imaging data. It supports various clinical applications including brain, lung, cardiac, liver, and bone imaging analyses, aiding physicians in diagnosis and treatment planning by providing enhanced image visualization, quantification, and monitoring of patient radiation doses.

TruPlan Computed Tomography (CT) Imaging Software is designed to help clinicians visualize and measure the left atrial appendage and surrounding heart structures from CT scans. It supports pre-procedural planning and post-procedural evaluation of the left atrial appendage closure (LAAC) procedure by providing segmentation, image visualization, and measurement tools. Machine learning enhances segmentation and landing zone detection for improved workflow. The software aids in clinical decision-making but does not replace existing standard care procedures.

MR Diffusion Perfusion Mismatch V1.0 by Olea Medical is an AI-powered software tool that automatically processes MR Diffusion and Perfusion imaging data to compute parametric maps, extract volume metrics, and calculate mismatch volumes. It assists radiologists and surgeons by providing quantitative imaging data that supports clinical decision-making. The software integrates with medical image platforms to streamline workflow without altering the original images and is intended to be used alongside other clinical information, not as a standalone diagnostic tool.

AIBOLIT 3D+ is a web-based software system that processes CT and MR medical images to create detailed 2D and 3D visualizations of anatomical structures. It assists healthcare professionals in surgical planning, training, and intraoperative reference by turning multi-dimensional images into easy-to-view and manipulate anatomical models, with color-coded organ identification to improve clinical decision-making.

TeraRecon Neuro is an AI-powered image processing software that analyzes brain perfusion data from CT or MRI scans. It helps healthcare professionals visualize blood flow and other key parameters in the brain to aid diagnosis, treatment planning, and post-treatment evaluation by providing detailed parametric maps and 3D visualizations of brain tissues and vessels.

AI4CMR v1.0 is a software tool that uses artificial intelligence to automatically analyze cardiac MRI scans to measure cardiac function parameters like ventricle volumes and ejection fraction. It helps clinicians by providing automated quantification of cardiac metrics from MR images, improving workflow efficiency and supporting clinical decisions when integrated into a DICOM viewer.