FDA Radiology AI Devices

The Cardiac CT Function Software Application by Circle Cardiovascular Imaging is a software tool that assists medical professionals in analyzing cardiac function from multi-phase, multi-slice cardiovascular CT angiography images. It uses AI to segment cardiac structures and compute key function metrics such as volume and ejection fraction, helping clinicians evaluate heart function more accurately and efficiently.

TruPlan Computed Tomography (CT) Imaging Software is designed to help clinicians visualize and measure the left atrial appendage and surrounding heart structures from CT scans. It supports pre-procedural planning and post-procedural evaluation of the left atrial appendage closure (LAAC) procedure by providing segmentation, image visualization, and measurement tools. Machine learning enhances segmentation and landing zone detection for improved workflow. The software aids in clinical decision-making but does not replace existing standard care procedures.

cvi42 Auto Imaging Software Application is an AI-powered medical imaging software designed to assist clinicians in evaluating cardiovascular MR and CT images. It uses machine learning to semi-automatically contour cardiac structures, perform calcium scoring, and analyze coronary arteries, aiding in diagnosis and quantitative assessment of heart and vessel conditions.

TruPlan is a medical software that helps doctors visualize and measure heart and vessel structures from CT scans to assist in planning the left atrial appendage closure procedure. It provides tools such as segmentation, 3D rendering, and simulated imaging views to support detailed anatomical assessment and device sizing for safe and effective treatment.

CVI42 is a software tool designed for analyzing CT and MR images of blood vessels. It provides tools for image visualization, processing, vessel centerline and lumen calculations, stenosis evaluation, and lesion characterization. This helps physicians evaluate and track vascular lesions more effectively for improved patient diagnosis and management.