FDA Radiology AI Devices

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.

NinesAI is a software tool that uses artificial intelligence to automatically analyze head CT images for signs of intracranial hemorrhage and mass effect. It helps prioritize critical cases by notifying radiologists of potential emergencies to assist in timely and effective patient care. The software works alongside standard workflows and does not replace full clinical evaluation or diagnosis.

CuraRad-ICH is an AI-powered software that helps radiologists quickly identify and prioritize head CT scans that may show acute intracranial hemorrhage (bleeding in the brain). By automatically analyzing CT images, it assists in faster diagnosis and treatment decisions to improve patient outcomes.

Rapid ICH is an AI-powered clinical software tool designed to help hospital radiology workflows by automatically analyzing non-contrast head CT scans to detect suspected intracranial hemorrhage. It provides alerts and compressed preview images to clinicians through PACS, email, and a mobile app to prioritize urgent cases and aid timely diagnosis and treatment decisions.

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.

Viz ICH is an AI-based software tool designed to analyze non-contrast CT scans of the brain for signs of intracranial hemorrhage (ICH). When the software detects suspected ICH, it sends notifications to neurovascular or neurosurgical specialists, helping speed up patient care by alerting clinicians early. The system includes a backend server for image processing and a mobile app for reviewing images in a non-diagnostic way for quick assessment and communication.

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.

syngo.CT Lung CAD is an AI-powered software tool that helps radiologists detect solid pulmonary nodules in chest CT scans. Acting as a second reader, it alerts clinicians to potential nodules that might have been overlooked during their initial review, thereby improving diagnostic accuracy and patient care.

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.