FDA Radiology AI Devices

VUNO Med-Chest X-ray Triage/VUNO Med-CXR Link Triage is an AI-based software tool that analyzes adult chest X-rays to detect critical conditions such as pleural effusion and pneumothorax. It prioritizes cases in the clinical workflow by providing passive notifications in the radiologist's PACS or workstation, helping healthcare professionals manage urgent cases efficiently. The software supports DICOM and common image formats and is intended to assist rather than replace clinical decision-making.

Ascent Cardiorespiratory Diagnostic Software is a standalone application used with hardware to measure, collect, and analyze lung and cardiopulmonary function tests. It helps clinicians, such as pulmonologists and cardiologists, diagnose lung and heart-related conditions by processing test data from devices like spirometers and body plethysmographs. The software provides detailed pulmonary and cardiopulmonary metrics, manages diagnostic data, and facilitates interpretation and reporting, improving diagnostic workflow.

LungVision is an AI-powered software system that helps clinicians navigate tools within the lungs during procedures. It combines previously acquired 3D CT images with real-time fluoroscopic X-ray images to provide detailed guidance for targeting lung lesions, thus enhancing the precision of pulmonary interventions.

qCT LN Quant is a software tool that helps radiologists track, assess, and quantify lung nodules seen in CT scans. It provides volumetric and diameter measurements of user-selected nodules, with 2D and 3D visualizations, and uses AI algorithms to assist in characterizing nodules including measurements like volume doubling time and density. It supports clinical decision-making with integrated risk calculators based on established lung nodule malignancy and management guidelines.

The Huxley SANSA Home Sleep Apnea Test is a wearable device that records various physiological signals such as oxygen saturation, heart rate, chest movement, snoring, and sleep stages. It uses AI/ML algorithms in a cloud-based platform to analyze these signals and assist healthcare professionals in evaluating sleep-related breathing disorders like sleep apnea, both in clinical and home settings.

BriefCase-Triage is an AI-powered software designed to assist hospital networks and trained radiologists in identifying suspected pulmonary embolism cases from CT pulmonary angiography (CTPA) images. The software analyzes images in parallel with standard interpretation, flags potential positive findings, and notifies clinicians with compressed preview images for triage purposes, helping prioritize urgent cases and reduce turnaround times without replacing standard diagnostic workflows.

Tyto Insights for Crackles Detection is an AI-powered software that analyzes lung sound recordings made by a compatible stethoscope to detect abnormal lung sounds called crackles. It supports clinicians by providing automated detection to help evaluate lung health in both adults and children aged two years and older. The device aids healthcare providers in clinical decision-making by highlighting recordings suggestive of crackles, which may indicate underlying lung conditions.

SmartChest is an AI software that analyzes frontal chest X-rays to detect suspected pleural effusion and pneumothorax. It helps radiologists by prioritizing cases with critical findings in their worklists, improving workflow efficiency. The software passively notifies the radiologist without replacing clinical decision-making.

EFAI CARDIOSUITE CTA ACUTE AORTIC SYNDROME ASSESSMENT SYSTEM is an AI-powered software that automatically analyzes CT angiography scans of the chest region to detect signs of acute aortic syndrome, including aortic dissection and intramural hematoma. It helps radiologists prioritize and triage cases by flagging suspicious studies, enabling faster diagnosis and improved workflow efficiency, although it is not a substitute for clinical decision-making.

AI-Rad Companion (Pulmonary) by Siemens Healthcare GmbH is software that uses machine learning and deep learning to analyze previously acquired chest CT scans. It helps radiologists and physicians segment lungs and lung lobes, identify and measure solid and sub-solid lung nodules, and track changes over time. This supports clinicians in assessing lung diseases, improving workflow efficiency and diagnostic accuracy.