FDA Radiology AI Devices

AVIEW is a software product that assists physicians by providing quantitative analysis of CT images for lung and cardiac evaluation. It offers segmentation of lung structures, characterization and measurement of lung nodules, calcium scoring of coronary arteries, and integrates computer-aided detection tools. It can be used both on-premises and in cloud environments, supporting remote access via mobile devices or browsers. This software enhances diagnostic accuracy and aids in patient management by automating complex image analysis tasks.

PeekMed web is an AI-powered software system that helps healthcare professionals perform pre-operative planning for various surgical procedures using patients' imaging studies. It operates in 2D and 3D environments with support for musculoskeletal regions and incorporates automated AI models for bone segmentation and landmarking, improving efficiency and accuracy in surgical planning.

The LVivo Software Application is an AI-based software platform that automates the analysis of ultrasound images, primarily to evaluate heart-left ventricle function and bladder volume. It helps clinicians by automatically detecting and calculating important medical parameters, improving diagnostic accuracy and efficiency in cardiology and related fields.

Cleerly LABS (v2.0) is a web-based software tool designed to help trained medical professionals analyze cardiac computed tomography (CT) images from Coronary CT Angiography (CCTA) scans. It uses machine learning to segment and label coronary arteries, assess plaques, stenosis, and vessel measurements, improving the efficiency and accuracy of coronary artery disease (CAD) assessment. The software enhances medical imaging workflows by automating complex, time-consuming tasks while providing interactive 2D and 3D visualizations.

LVivo Seamless is a software platform designed to automatically process echocardiogram ultrasound images to detect, measure, and calculate important cardiac medical parameters. It helps clinicians by selecting the appropriate image clips and activating AI modules to evaluate ejection fraction (EF) and global longitudinal strain (GLS), improving workflow and providing quantitative cardiac function data for better diagnosis and monitoring.

Ceevra Reveal 3+ is a software medical device that processes 3D images from CT and MR scans, employing machine learning to generate segmentations of normal anatomy. It helps healthcare professionals in preoperative surgical planning and intraoperative visualization to improve patient management. The software runs on computers and mobile devices and provides interactive tools for clinicians to examine anatomical structures in detail.

The LVivo Software Application is an AI-based software platform that automatically analyzes ultrasound images, primarily of the heart's left and right ventricles, to evaluate cardiac function, and also measures bladder volume. It supports both global and segmental evaluation of cardiac structures, providing clinicians with valuable measurements like ejection fraction and myocardial strain, helping diagnose and monitor heart disease and other medical conditions.

Myomics is a software tool designed to assist clinicians in viewing, processing, and quantitatively analyzing cardiovascular magnetic resonance (MR) images. Using AI-powered algorithms, it helps in detailed assessment of heart structures and adjacent vessels to support diagnosis in adult patients based on images acquired from 3.0 T MR scanners.

The Ventripoint Medical System Plus (VMS+) 4.0 is a software and hardware system that works alongside ultrasound machines to create 3D heart chamber models from 2D ultrasound images. This helps clinicians measure volumes and ejection fractions of the left and right ventricles and atria, improving assessment of cardiac function. The system uses AI-based reconstruction algorithms and manual control point adjustments to ensure accurate 3D modeling, providing detailed volumetric data and clinical reports.

ScanDiags Ortho L-Spine MR-Q is an AI-powered software tool that processes previously acquired lumbar spine MRI images to provide quantitative measurements of spinal anatomical structures such as vertebral bodies, intervertebral discs, neuroforamina, and thecal sacs. It utilizes deep learning algorithms for semi-automatic segmentation and measurements, allowing radiologists to review and adjust results. This tool helps clinicians save time and improve the accuracy of lumbar spine assessment without replacing their expert interpretation.