FDA Radiology AI Devices

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.

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.

Ultrasound Workspace (UWS 6.0) is a clinical software package from Philips designed for analyzing and quantifying ultrasound images of cardiovascular, fetal, and abdominal structures. Using AI and machine learning, it supports physicians in diagnosing conditions by automating the measurement of heart functions, valve anatomy, and blood flow dynamics. This helps improve efficiency and accuracy in interpreting ultrasound exams, particularly in adult cardiac applications.

Sonix Health is a software product designed to analyze echocardiography ultrasound images automatically. It helps clinicians by classifying ultrasound views and measuring cardiac parameters using AI, thereby improving efficiency and accuracy in heart assessment for adult patients.

Strain AI is a medical software device that analyzes cardiac ultrasound images to measure global longitudinal strain (GLS), helping clinicians assess heart function in adult patients. It integrates with existing ultrasound devices to provide quantitative strain measurements, supporting diagnostic evaluation without requiring manual interpretation of images.

EchoMeasure by iCardio.ai is an AI-powered software that analyzes previously acquired cardiac ultrasound images to automatically measure key cardiac anatomical parameters. It assists cardiologists and healthcare professionals by providing accurate measurements for clinical decision-making, enhancing efficiency and supporting diagnostic review.

LVivo Software Application is an AI-powered software platform designed to automatically analyze ultrasound images of the heart and bladder. It calculates important functional and structural parameters of the heart's left and right ventricles and the bladder volume, helping clinicians with rapid and accurate assessments during routine echocardiographic exams and point-of-care settings.

PIUR tUS Infinity is a computer-aided detection system that assists medical professionals by analyzing ultrasound images of the thyroid and thyroid nodules. It uses AI and machine learning algorithms to create 3D volume reconstructions from 2D ultrasound images, allowing quantification and visualization of thyroid nodules to aid diagnosis. The system integrates seamlessly with FDA-cleared ultrasound equipment and produces reports to support clinical decisions.

AI Platform 2.0 (AIP002) by Exo Imaging is an AI-powered software tool designed to assist healthcare professionals by analyzing ultrasound images of the heart and lungs. It helps detect lung structures and artifacts, and quantifies cardiac functions such as left ventricular ejection fraction and myocardium wall thickness. The tool also provides real-time quality feedback to improve ultrasound image acquisition, aiding clinicians in making better diagnostic assessments for adult patients.

LVivo IQS is an AI-powered platform designed to analyze ultrasound images of the heart, specifically providing real-time quality scoring of right ventricle images from the 4-chamber apical view. This software helps clinicians by automatically detecting, measuring, and calculating important cardiac parameters and providing feedback on image quality, enhancing the reliability and interpretability of ultrasound examinations.