FDA Radiology AI Devices

Cleerly Labs v2.0 is a web-based software that assists trained medical professionals by analyzing coronary CT images to detect atherosclerosis and stenosis. It uses AI to segment and label coronary arteries, enhancing efficiency and accuracy in diagnosing coronary artery disease and supporting clinical decision making.

AVIEW by Coreline Soft is a comprehensive medical imaging software that processes CT images of the lungs and heart. It helps physicians analyze lung tissue quantitatively, characterize lung nodules, evaluate coronary artery calcium, and monitor progression of lung disease. The software provides advanced segmentation, registration, quantitative metrics, and reporting tools, integrating AI techniques such as deep learning and CAD to enhance diagnostic support and workflow efficiency.

BriefCase by Aidoc Medical, Ltd. is an AI-powered software that analyzes contrast-enhanced chest CT scans to detect incidental pulmonary embolism. The software notifies radiologists of suspected positive cases via a desktop application, helping prioritize urgent cases for faster review without replacing the standard diagnostic process. It supports workflow improvements by flagging cases early, potentially saving hours in time to examination.

Limbus Contour is a software tool that uses machine learning to automatically create contours of normal anatomical structures on CT and MRI images for use in radiation therapy planning. It helps trained clinicians by providing optimized contours that can be imported into treatment planning systems, improving efficiency and accuracy in defining healthy tissues.

AccipioIx is an AI-based software that processes non-contrast head CT scans to identify signs of acute intracranial hemorrhage. It helps clinicians prioritize urgent cases for faster review by analyzing images and flagging suspected hemorrhages, improving workflow efficiency in acute care settings.

VIDA|vision is an interactive imaging software that helps physicians analyze CT scans of the lungs. It uses deep learning algorithms to automatically segment lung regions and provides detailed quantitative analyses to assist in diagnosing and monitoring lung diseases such as lung cancer, COPD, and asthma. This software reconstructs two-dimensional CT images into 3D views and generates detailed reports, streamlining the workflow and reducing manual effort for clinicians.

Rapid LVO is a software tool that helps hospitals and radiologists quickly identify and prioritize suspected cases of Large Vessel Occlusion (LVO) in head CT angiography images. It analyzes images using a software algorithm and provides notifications with preview images to assist clinical workflow, without replacing standard diagnostic procedures.

Deep Recon is an AI-powered image reconstruction software designed for CT scanners. It uses deep learning technology to produce clearer CT images with less noise and better low contrast detectability, helping clinicians get accurate diagnostic images while potentially reducing the radiation dose for patients. It supports scans of the head, chest, abdomen, cardiac, and vascular regions, and is integrated into specific United Imaging CT scanners.

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.

InferRead Lung CT.AI is software that helps radiologists detect lung nodules in chest CT scans. It uses AI algorithms to identify and mark nodules, providing measurements and characterization to aid diagnosis, specifically targeting an asymptomatic population. The software integrates with existing PACS systems and assists clinicians by enhancing nodule detection sensitivity and reducing interpretation times.