FDA Radiology AI Devices

Contour ProtégéAI is a software tool designed to assist medical professionals by automatically creating anatomical contours on CT and MR medical images using machine learning. It supports applications such as adaptive therapy, radiation treatment planning, and management of patient images. The software requires manual review and editing of contours to ensure accuracy, improving clinical workflow efficiency and patient care.

Rapid ASPECTS is an AI-powered software that helps doctors analyze CT brain scans to detect and score early signs of ischemic stroke by automatically segmenting brain regions and calculating an ASPECTS score. This aids clinicians in timely and accurate diagnosis, improving stroke assessment especially when expert radiologists are not immediately available.

CINA is an AI-based software that assists radiologists by analyzing head CT scans and CT angiographies to flag suspected cases of intracranial hemorrhage and large vessel occlusion. It provides timely notifications with preview images to help prioritize cases for quicker evaluation, improving workflow and patient care without altering original images or making direct diagnoses.

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.

BriefCase by Aidoc Medical, Ltd. is an AI-powered software that assists radiologists by automatically analyzing abdominal CT scans to detect suspected Intra-abdominal Free Gas pathologies. It notifies clinicians of positive findings via a desktop application to help prioritize and triage patient workflow, speeding up clinical decision-making while operating alongside standard care without altering original medical images.

AI-Rad Companion Brain MR is a software tool that helps clinicians analyze and evaluate brain MRI scans. It automatically segments and measures various brain structures, compares them with data from healthy individuals, and presents this information in an easy-to-understand report. This aids in diagnosis and treatment planning for patients with neurological conditions.

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.