FDA Radiology AI Devices

ClariPulmo is a software tool designed to analyze lung CT images. It helps doctors by automatically segmenting the lungs and quantifying areas of low and high attenuation in the lung tissue. It includes AI-based features like deep learning segmentation, denoising, and kernel normalization to improve image quality and quantification, especially for low-dose CT scans. This software supports clinical assessment of lung abnormalities by providing color-coded images and quantitative reports.

Rapid is a medical image processing software that helps clinicians visualize and analyze tissue changes in CT and MRI images, particularly aiding in the selection of acute stroke patients for treatment. It uses AI/ML components to detect image artifacts and supports advanced imaging features such as perfusion, diffusion and dynamic contrast analysis.

Quantib ND is a software application that automatically labels, visualizes, and measures volumes of brain structures and white matter abnormalities from MR brain scans. It helps radiologists by providing detailed quantitative data and visual segmentations to assist in assessing and tracking neurological conditions.

The UNiD Spine Analyzer is a web-based software tool that helps surgeons and healthcare providers view and measure spine-related medical images, plan surgical procedures, and simulate surgical strategies. It incorporates machine learning predictive models to assist in preoperative planning and includes a database of implant templates to aid in selecting and placing surgical implants. The software enhances clinical decision-making by providing quantitative radiographic parameters and predictive outputs for spine surgery planning.

AIBOLIT 3D+ is a software system that takes CT scan images and processes them into detailed 3D visual models of anatomical structures. This tool helps doctors plan surgeries, train, and educate patients by enabling interactive viewing of organs and tissues from multiple angles and with enhanced clarity. It supports better decision-making and may reduce errors during procedures.

FlightPlan for Liver is a post-processing software that helps physicians analyze 3D X-ray angiography images to visualize the liver's vasculature and identify arteries near hypervascular lesions. It incorporates AI algorithms, including deep learning-based liver segmentation, to support the planning of liver embolization procedures, improving physician workflow and precision in treatment planning.

SwiftMR is a software medical device designed to automatically enhance brain MRI images by reducing noise and improving image sharpness. It processes MRI scans in DICOM format using advanced deep learning models, helping radiology professionals obtain clearer images for better diagnosis and clinical decision-making without interrupting their workflow.

RBknee is an AI-powered software that automatically analyzes knee X-ray images to measure joint space width and assess signs of knee osteoarthritis. It provides objective measurements and standardized grading to help medical professionals in evaluating knee osteoarthritis severity, supporting diagnosis and treatment decisions.

The TruSPECT Radiological Image Processing Station is a nuclear medicine imaging software system designed to process and display SPECT images alongside CT/MR scans for enhanced clinical diagnosis, including attenuation correction and quantitative assessment. It supports AI-based attenuation correction to improve image quality and aids clinicians, particularly for cardiac imaging and other clinical applications, by providing advanced visualization, segmentation, and quantitative tools.

ClariCT.AI is an AI-powered software solution that enhances the quality of CT images by reducing noise, especially in low-dose scans. This helps radiologists get clearer images to improve diagnosis while potentially lowering patient radiation exposure. It is compatible with CT images from any manufacturer and integrates seamlessly with medical IT systems.