FDA Radiology AI Devices

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.

ElucidVivo A.3 is a medical image analysis software that processes and visualizes CT angiographic images to help physicians assess arterial vessels and stratify patients with atherosclerosis. It offers tools for measurement and visualization of vessel structure and plaque characteristics, supporting clinical decision-making without providing direct diagnosis.

SwiftMR is a software device that automatically enhances MRI images by reducing noise and increasing image sharpness using deep learning algorithms. It supports brain, spine, and musculoskeletal MRI images and integrates with existing PACS systems to improve diagnostic image quality without interrupting clinical workflow.

Quantib Prostate is an AI-powered image post-processing software designed to assist medical professionals in analyzing prostate MRI scans. It provides tools for visualization, semi-automatic segmentation of prostate anatomy and lesions, volume computations, and PI-RADS scoring support to facilitate the interpretation of prostate MR studies, aiding clinical decision-making.

Segment 3DPrint is a medical software developed by Medviso AB that helps clinicians review and segment images from medical scanners to generate detailed 3D models. These models assist doctors with visualization, measuring, and treatment planning, particularly in orthopaedic, maxillofacial, and cardiovascular fields. The software also supports creating physical 3D printed replicas from these models, enhancing clinical workflows and patient care.

aPROMISE X is a software platform for healthcare professionals and researchers that assists in accepting, transferring, storing, manipulating, quantifying, and reporting digital medical images from PSMA PET/CT scans. It allows users to visualize multiple scans, mark regions of interest, and perform quantitative analysis to help identify suspicious lesions in oncology cases, improving clinical efficiency and consistency.