FDA Radiology AI Devices

V5med Lung AI is an AI-powered software that helps radiologists detect pulmonary nodules in chest CT images. It automatically analyzes scans and highlights areas with suspected nodules between 4 and 30 mm, acting as a supportive tool to improve accuracy and reduce missed findings. The system integrates easily with clinical imaging workflows and has been clinically validated to improve radiologist performance and reduce reading time.

Salix Central is a cloud-based software that helps cardiologists and radiologists analyze cardiac CT scans. It assists in identifying coronary plaques, stenosis, and performing calcium scoring, supporting clinical decision-making in assessing heart disease.

Vent Creativity Knee v1.0 (Hermes) is a software tool that processes CT scan images of the knee to segment bones and generate surgical planning data. It uses AI models to accurately identify bone structures and landmarks, aiding clinicians in diagnosis and preoperative planning. The software also supports the creation of physical replicas based on imaging data, facilitating orthopedic applications.

brAIn™ Shoulder Positioning is a cloud-based software tool that assists shoulder surgeons in planning total shoulder replacement surgeries. It automatically segments CT images of the shoulder using machine learning, allowing clinicians to visualize shoulder anatomy, position implants interactively in 3D, and receive detailed pre- and post-operative measurements and reports, facilitating more accurate and efficient surgical planning.

AVIEW is a software product that assists physicians by providing quantitative analysis of CT images for lung and cardiac evaluation. It offers segmentation of lung structures, characterization and measurement of lung nodules, calcium scoring of coronary arteries, and integrates computer-aided detection tools. It can be used both on-premises and in cloud environments, supporting remote access via mobile devices or browsers. This software enhances diagnostic accuracy and aids in patient management by automating complex image analysis tasks.

The BodyTom 64 is a computed tomography (CT) system designed for pediatric and adult imaging within an 85 cm aperture. It offers high-resolution CT scans with preset dose settings based on patient age and weight and can be used with or without contrast. The system is specifically intended for various diagnostic uses, including low dose lung cancer screening when used with established protocols. Its design includes a mobile gantry with a rotating disk x-ray generator and detector array, facilitating imaging at different clinical locations. The system includes an interventional radiology package that enhances clinical workflow and user experience.

The RCT600 is a dental and maxillofacial imaging system that uses cone beam computed tomography (CBCT), panoramic, and cephalometric X-ray imaging to help dentists and healthcare professionals diagnose and plan treatment for both adult and pediatric patients. It produces high-quality 3D and 2D images of hard tissues like bones and teeth, as well as wrist images for orthodontic growth assessment, enabling better clinical decisions and patient care.

Cleerly LABS (v2.0) is a web-based software tool designed to help trained medical professionals analyze cardiac computed tomography (CT) images from Coronary CT Angiography (CCTA) scans. It uses machine learning to segment and label coronary arteries, assess plaques, stenosis, and vessel measurements, improving the efficiency and accuracy of coronary artery disease (CAD) assessment. The software enhances medical imaging workflows by automating complex, time-consuming tasks while providing interactive 2D and 3D visualizations.

Ceevra Reveal 3+ is a software medical device that processes 3D images from CT and MR scans, employing machine learning to generate segmentations of normal anatomy. It helps healthcare professionals in preoperative surgical planning and intraoperative visualization to improve patient management. The software runs on computers and mobile devices and provides interactive tools for clinicians to examine anatomical structures in detail.

JLK-SDH is an AI-powered software that analyzes non-contrast CT head images to detect suspected subdural hemorrhage (SDH). It assists radiologists by notifying them of potential cases in a parallel workflow to standard care, enabling quicker communication and prioritization for specialist review. This helps clinicians promptly identify and manage patients with SDH, improving workflow efficiency and potentially patient outcomes. The device is intended for notification purposes only and does not replace diagnostic evaluation.