FDA Radiology AI Devices

qER is an AI-powered software designed to analyze non-contrast head CT scans to detect critical conditions like intracranial hemorrhage, mass effect, midline shift, and cranial fractures. It assists clinicians by prioritizing urgent scans for review, helping to speed up diagnosis without altering the original image data.

The Auto 3D Bladder Volume Tool by Butterfly Network is a software application integrated with Butterfly Network ultrasound systems. It uses machine learning (U-Net convolutional neural network) to automatically segment and measure bladder volume from ultrasound images, providing clinicians with noninvasive quantitative data to support diagnosis in adult patients.

MEDO ARIA is a cloud-based medical imaging software that uses machine learning to help clinicians view, quantify, and generate reports from ultrasound images of infant hips. It supports diagnosis of developmental hip dysplasia (DDH) in newborns and infants up to 12 months, assisting radiologists by automating some image analysis tasks and improving workflow efficiency.

QLAB Advanced Quantification Software is a software application that assists clinicians by providing advanced tools to view and quantify ultrasound image data, specifically for cardiac assessment including mitral valve quantification, helping improve diagnosis and treatment planning.

uWS-MR is a comprehensive medical imaging software that assists clinicians in viewing, manipulating, and analyzing MR images. It supports numerous advanced applications such as MR cardiac analysis, neuroimaging evaluation, spectroscopy, dynamic imaging, vessel analysis, and fusion of image series. It facilitates better interpretation and quantitative evaluation of various MR studies to aid diagnostic and clinical decision-making.

Syngo.CT CaScoring by Siemens is an AI-based software that evaluates non-contrasted cardiac CT images to identify and score calcified coronary lesions. It helps clinicians by automatically marking these lesions, assigning them to specific coronary arteries, and calculating clinically relevant scores such as the Agatston score, facilitating better assessment and documentation of coronary artery disease.

HealthVCF is a software solution that uses artificial intelligence to analyze chest and abdominal CT scans to detect suspected vertebral compression fractures. It helps clinicians prioritize these cases for review within bone health programs by flagging them in a dedicated workstation application without interfering with the standard radiology workflow. The product aims to improve the speed of identifying at-risk patients but does not provide a diagnosis itself.

AVIEW LCS by Coreline Soft Co., Ltd. is a diagnostic software tool that reviews, analyzes, and reports on thoracic CT images to help clinicians characterize lung nodules. It automatically measures nodule size, volume, density, and growth over time, integrates with FDA-cleared CAD for nodule detection, and provides lung cancer risk scoring and standardized Lung-RADS categorization. This helps clinicians detect, monitor, and manage lung nodules more accurately and efficiently.

The uMR 780 is a 3.0 Tesla MRI system designed to generate high-quality cross-sectional and spectroscopic images of the head, body, and extremities. It assists clinicians in diagnosing various conditions by providing detailed anatomical and functional images, with the option to use contrast agents. The latest version includes software enhancements such as new pulse sequences and AI-assisted image reconstruction methods, improving image quality and analysis.

This product group from Philips Ultrasound, Inc. includes several series of diagnostic ultrasound systems and software that produce and analyze ultrasound images to assist clinicians in diagnosing various conditions. They support 2D, Doppler, and advanced imaging modes for applications across many body regions, improving clinical workflow and diagnostic confidence.