FDA Radiology AI Devices

The eMotus Respiratory Motion Management System by EmpNia Inc. helps monitor and record patients' breathing patterns to improve the accuracy of CT diagnostic imaging and radiation therapy. By tracking respiratory motion, it aids clinicians in synchronizing image acquisition and radiation delivery, reducing motion-related artifacts and improving treatment precision. The device uses optical fiber sensors attached to the patient's chest or abdomen to generate a respiratory waveform and gate signals that help coordinate imaging and therapy devices.

InferRead Lung CT.AI is an AI-powered software tool designed to assist radiologists in detecting and analyzing pulmonary nodules 4mm or larger on chest CT scans of asymptomatic patients aged 55 and older. It provides automatic detection, segmentation, and tracking of nodules over time, helping clinicians identify, measure, and localize lung nodules efficiently. This tool supports early lung nodule detection and monitoring, aiding in lung cancer screening and diagnosis.

Lung AI (LAI001) is a software tool that assists healthcare professionals by analyzing lung ultrasound scans to detect signs of consolidation/atelectasis and pleural effusion. It highlights regions of interest on ultrasound cine clips to help clinicians identify potential lung issues, improving review efficiency but not replacing clinical judgment or other diagnostic tests. It supports physicians particularly in emergency departments during point-of-care lung ultrasounds.

Annalise Enterprise is an artificial intelligence software designed to analyze chest X-ray images to detect several critical findings such as pneumothorax, tension pneumothorax, pleural effusion, pneumoperitoneum, and vertebral compression fractures. It supports clinicians by prioritizing studies containing these suspected findings to streamline and accelerate patient care workflow, aiding in triage and worklist management.

The SpotLight / SpotLight Duo with Low Dose Lung Cancer Screening Option is a CT X-ray system that produces cross-sectional images of the body, particularly the cardiovascular and thoracic regions. It includes protocols for low dose CT scans aimed at lung cancer screening, ensuring minimal radiation exposure while maintaining image quality. This device assists clinicians in diagnosing lung cancer and planning related therapies, utilizing advanced image reconstruction algorithms and adaptable scan techniques for patients of various sizes.

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.

Rayvolve LN is an AI-powered software that helps radiologists detect and highlight suspected pulmonary nodules on frontal chest X-rays. By serving as a second reader, it aids in reviewing digital radiographs for patients 18 years or older, enhancing diagnostic accuracy without replacing the original chest images.

Rayvolve PTX-PE is an AI-based software tool designed to automatically analyze chest X-ray images for critical findings like pleural effusion and pneumothorax. It helps healthcare professionals prioritize cases by providing study-level notifications for worklist management, thereby improving the efficiency of radiological workflows without replacing clinical decision-making.

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.

ChestView US is an AI software product that analyzes frontal and lateral chest X-rays to detect and mark suspicious areas such as lung nodules, pleural abnormalities, mediastinal/hilar abnormalities, and consolidations. It provides annotated images with highlighted regions to assist clinicians in reading chest radiographs, improving diagnostic accuracy as a concurrent reading aid.