FDA Radiology AI Devices

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.

uOmnispace.CT is a comprehensive medical image management and processing software mainly for CT images, developed by Shanghai United Imaging Healthcare. It provides various AI-driven analysis tools including lung nodule detection, brain perfusion analysis, cardiovascular and liver evaluations, and more. This software supports clinical interpretation, visualization, and quantitative assessment, helping clinicians diagnose and plan treatments more efficiently across multiple organ systems.

BriefCase-Quantification is an AI-powered software that analyzes CT scans of the abdominal aorta to measure its maximum diameter. It helps trained medical specialists by providing preliminary diameter measurements to assist with evaluating normal and aneurysmal abdominal aortas, improving the efficiency of radiological assessments. The software is cloud-based, processes images from DICOM format, and integrates output with PACS for clinician review.

InVision Precision LVEF is a software tool that analyzes previously acquired transthoracic cardiac ultrasound images to automatically estimate the left ventricular ejection fraction, helping clinicians with cardiac evaluation. The software processes DICOM ultrasound videos, uses machine learning to segment the left ventricle, and allows clinicians to review and adjust the measurements for precise cardiac function assessment.

uOmnispace.MR is advanced software developed by Shanghai United Imaging Healthcare Co., Ltd. that helps clinicians view, process, and analyze magnetic resonance (MR) images across various clinical applications such as brain, breast, cardiac, vascular, and neurological imaging. It supports interpretation and evaluation by providing tools for stitching, dynamic studies, spectroscopy, perfusion, vessel analysis, cardiac function analysis, and flow analysis, enabling improved diagnostic workflows and patient care.

Preview Shoulder is a software tool designed to help orthopedic surgeons plan shoulder surgery using 3D models created from CT scans. It allows surgeons to place digital implants within the shoulder anatomy and generate detailed surgical plans to improve surgical outcomes. This software is used as a pre-operative planning aid and is intended for adult patients only, not for diagnostic purposes.

Us2.v2 is software that processes cardiac ultrasound images to automatically measure various heart structures and functions, helping clinicians analyze echocardiograms more efficiently and accurately. It supports qualified healthcare professionals by providing automated measurements of cardiac size and function, improving workflow and aiding diagnosis in adult patients.

AVIEW CAC is a software that analyzes non-contrast chest CT scans to quantify calcified plaques in coronary arteries, calculate the Agatston score, and provide risk stratification based on calcium scoring, age, and gender. It helps radiologists and cardiologists by supporting image storage, transfer, and display, facilitating clinical decision-making for coronary artery disease risk assessment.

BoneMRI is an AI-powered software that enhances MRI images to better visualize bone structures in the pelvic and spine regions. It improves the contrast of bone relative to soft tissue to assist radiologists and orthopedic surgeons in assessing bone morphology and tissue radiodensity without replacing CT imaging. It supports clinical use in patients aged 12 and older and operates via hospital networks, ensuring data security.

The iCAS-LV software from HighRAD Ltd. is an advanced image analysis tool that helps physicians visualize and evaluate liver lesions in CT scans. It uses interactive segmentation, automatic registration, and volume measurement to track lesions' size, shape, and changes over time, supporting clinical decision-making without replacing physician judgment.