FDA Radiology AI Devices

VisiRad XR is an AI-powered software that helps physicians detect suspicious lung nodules and masses on chest X-rays by marking regions of interest. It acts as a second reader to assist radiologists in their interpretations, enhancing diagnostic accuracy for adult patients in outpatient or emergency settings.

The uMI Panorama is a PET/CT system that provides combined metabolic and anatomical imaging to assist healthcare professionals in detecting, diagnosing, staging, and managing various diseases including oncology, cardiology, and neurology conditions. It supports both PET and standalone CT imaging and can be used for low dose CT lung cancer screening, enhancing patient care with fused functional and anatomical images.

syngo.CT Lung CAD (Version VD30) is a computer-aided detection tool developed by Siemens Healthcare GmbH to help radiologists identify solid and subsolid pulmonary nodules in chest CT scans. The software highlights regions that might be overlooked, improving the accuracy and efficiency of lung nodule detection during radiological review. It can operate as a first or second reader and includes a mode to filter out subsolid and fully calcified nodules for focused analysis.

AVIEW Lung Nodule CAD is an AI-powered software designed to help radiologists detect lung nodules on chest CT scans. It automatically identifies nodules between 3 to 20 mm in diameter, providing an additional review layer to ensure suspicious nodules are not overlooked. This tool integrates with medical imaging systems and has been clinically tested to improve detection accuracy and reduce the time radiologists spend reviewing CT scans, ultimately aiding early diagnosis of lung conditions.

The uCT ATLAS Astound with uWS-CT-Dual Energy Analysis is an advanced CT scanner designed to produce cross-sectional images of various body regions, including head, whole body, cardiac, and vascular areas. It integrates deep learning for image reconstruction to enhance image quality and reduce noise, and includes software for dual energy analysis to differentiate tissue types based on their chemical composition. This aids clinicians in lung cancer screening and detailed anatomical evaluation, supporting early diagnosis and treatment.

AVIEW is a medical imaging software by Coreline Soft that helps clinicians analyze CT scans of the lungs and heart. It automatically segments lung structures, characterizes lung nodules with detailed measurements, and provides calcium scoring of coronary arteries to assess cardiovascular risk. It integrates with AI-based CAD tools and offers cloud and mobile access, making it easier and faster for doctors to diagnose lung and heart conditions.

Auto Lung Nodule Detection is a computer-aided detection software designed by Samsung Electronics to assist physicians in identifying and marking suspected pulmonary nodules between 10 and 30 mm on PA chest X-rays. Integrated into Samsung's digital X-ray systems, it serves as a second reader by highlighting regions of interest on images to support radiologists in their interpretation and improve detection accuracy.

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.