FDA Radiology AI Devices

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.

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.

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.

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.

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.

LVivo IQS is a software application that processes ultrasound images of the heart to detect, measure, and calculate key medical parameters for patients with suspected cardiac disease. It provides real-time quality score feedback on image quality, helping clinicians ensure the accuracy and usefulness of cardiac ultrasound scans, particularly the left ventricle function from the 4 chamber apical view. This tool assists clinicians by improving the reliability of echocardiographic assessments.

LVivo Seamless is an AI-powered software application that analyzes ultrasound (echocardiogram) images to automatically detect heart structures, measure ejection fraction (EF), and calculate global longitudinal strain (GLS), aiding clinicians in assessing cardiac function efficiently and accurately. It runs offline on a server in healthcare settings, accepts DICOM-format ultrasound clips from various vendors, and sends results to PACS for professional review.

The LVivo Software Application is an AI-powered tool that automates the analysis of ultrasound images, specifically echocardiograms, to measure cardiac functions such as left and right ventricular function and bladder volume. It helps clinicians accurately and efficiently assess heart structure and function in patients, supporting better diagnosis and management of heart conditions.

LVivo Seamless is an AI software application that automatically analyzes echocardiogram ultrasound images to assess cardiac function by calculating parameters like ejection fraction (EF). It helps clinicians by streamlining the evaluation process, sending analyzed results directly to PACS for review, enhancing diagnostic efficiency and accuracy for patients with suspected cardiac disease.

LVivo Software Application is an AI-powered ultrasound image analysis platform that automatically calculates important medical parameters related to cardiac and bladder function. It helps clinicians assess heart ventricles and bladder volume using processed ultrasound images, thereby improving diagnostic efficiency and accuracy.