FDA Radiology AI Devices

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.

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.

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.

Hepatic VCAR is a medical software designed to assist clinicians in analyzing liver CT scans by providing automated and editable 3D segmentation of the liver, liver lesions, and hepatic artery. It uses deep learning algorithms to improve accuracy, helping to assess liver morphology and changes over time, thereby facilitating faster and more precise liver evaluations.

Al-Rad Companion (Musculoskeletal) is AI-powered software designed to analyze CT images of the spine. It supports clinicians by automatically segmenting and labeling vertebrae, measuring vertebral heights, and calculating the mean Hounsfield unit values within vertebrae, aiding in musculoskeletal disease evaluation and assessment.

The SonoVision Ultrasound Imaging System is a general-purpose ultrasound device designed to help physicians visualize nerves, vascular structures, and other anatomical features, especially during spinal procedures. It uses a specialized ultrasound probe and advanced image processing software to provide real-time imaging assistance, enhancing the accuracy and safety of medical interventions.

Broncholab is a software tool that helps doctors analyze CT scans of the lungs by providing detailed quantitative information about lung volume, airway volume, lung density, and other pulmonary tissue characteristics. It assists in the diagnosis and follow-up of lung abnormalities by creating 3D models and measurements from CT images, supporting clinical decision-making.

AccuContour is a standalone software designed for radiation oncology departments. It uses AI-based deep learning to automatically contour organs at risk on non-contrast CT images and to register multimodality medical images. This helps clinicians in treatment planning, evaluation, and adaptation, improving workflow efficiency and accuracy in radiation therapy.

icobrain-ctp is a software package designed to analyze CT perfusion scans of the brain. It processes imaging data to calculate brain tissue perfusion parameters and volumes affected by abnormalities, providing detailed reports to aid clinicians in stroke and brain blood flow assessment. The tool supports image export in DICOM format and integrates with standard radiological viewing platforms, helping healthcare professionals make informed decisions efficiently.

ADAS 3D is a software application designed to help medical professionals visualize and analyze 3D cardiac images obtained from MRI and CT scans. It supports the quantification and visualization of myocardial scar and other cardiac features to assist clinical decision-making for patients with cardiovascular disease. The software enables detailed analysis of the heart's structure and enhancement patterns, facilitating better cardiovascular disease assessment.