FDA Radiology AI Devices

BriefCase for RibFx is an AI-powered software that assists medical specialists by analyzing chest CT scans to identify and flag cases with three or more acute rib fractures. It provides notifications and low-quality preview images on a desktop application, helping radiologists prioritize and review urgent cases sooner, thereby improving workflow efficiency and patient care.

The syngo.CT Lung CAD by Siemens Healthcare GmbH is a software tool designed to assist radiologists in detecting solid and subsolid lung nodules on chest CT scans. It uses advanced AI algorithms based on convolutional neural networks to highlight suspicious areas, reducing the chance of missed nodules. The software integrates with existing medical imaging platforms, improving clinicians' efficiency and accuracy in lung nodule detection, a critical task in lung cancer screening and diagnosis.

Optellum Virtual Nodule Clinic is an AI-powered software that helps medical professionals track, assess, and characterize pulmonary nodules detected incidentally in CT scans. It provides a malignancy likelihood score using a convolutional neural network to support clinical decision making, improving diagnostic accuracy and patient management workflows for lung nodules.

NinesMeasure is a software tool designed to help trained radiologists measure the size of pulmonary nodules on adult thoracic CT scans. It uses artificial intelligence to automatically calculate long and short axis diameters of nodules, providing quantitative information for better assessment and tracking over time. This tool assists clinicians by streamlining nodule measurement, though it is not intended to replace full patient evaluation or diagnosis.

The uAI EasyTriage-Rib is a software tool that uses artificial intelligence to analyze CT chest images and help radiologists prioritize trauma cases with suspected multiple acute rib fractures. It assists in workflow triage by flagging cases with suspected findings, allowing faster and more efficient patient management without altering the original medical images or making diagnoses itself.

AView LCS by Coreline Soft Co., Ltd. is a medical software tool that helps clinicians review, analyze, and report on thoracic CT scans. It automatically detects and measures lung nodules, calculates malignancy risk, supports follow-ups with nodule matching, and generates diagnostic reports. This improves the accuracy and efficiency of lung nodule assessment and lung cancer screening.

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.

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.

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.