FDA Radiology AI Devices

The Dreem 3S is a wearable headband device that uses EEG electrodes and a 3D accelerometer to record brain electrical activity and movement during sleep. It applies an artificial neural network to automatically analyze and classify sleep stages, providing clinicians with detailed reports of patients' sleep patterns to aid in sleep assessment at home or in healthcare settings.

AusculThing ACC is an AI-powered decision support software that analyzes heart sounds recorded by an electronic stethoscope to help healthcare providers distinguish between normal and abnormal heart murmurs. It provides instant, automated analysis and visual and acoustic feedback to support clinical evaluation in both adult and pediatric patients.

EyeArt v2.2.0 is an AI-based software device designed to automatically detect more than mild and vision-threatening diabetic retinopathy in retinal fundus images. It assists healthcare providers by analyzing images captured from specific retinal cameras and providing diagnostic screening results to help identify retinal disease in adults with diabetes, facilitating early detection and treatment.

NeuroRPM is a software application for the Apple Watch that uses machine learning to analyze motion sensor data to quantify motor symptoms like tremor, bradykinesia, and dyskinesia in adult Parkinson's disease patients. It helps clinicians remotely monitor symptom presence every 15 minutes, supporting both clinic and home use for improved patient management.

The Belun Sleep System BLS-100 is a wearable device designed for adult patients suspected of sleep apnea. It consists of a sensor ring worn on the user's index finger overnight to collect biophysical signals such as oxygen saturation and pulse, which are then analyzed by AI-powered software to help healthcare professionals assess the severity of sleep-related breathing disorders in both clinical and home settings.

Brainomix 360 e-ASPECTS is an AI-powered software that analyzes non-contrast CT brain scans to assist clinicians in detecting and characterizing ischemic brain tissue injuries, particularly in cases of acute stroke caused by MCA or ICA occlusions. It automatically provides an ASPECTS score, highlights affected brain regions, and visualizes voxel contributions to the score, helping clinicians make timely and more accurate assessments to guide stroke treatment.

LVivo IQS is a software application that processes ultrasound images of the heart to detect, measure, and calculate key medical parameters for patients with suspected cardiac disease. It provides real-time quality score feedback on image quality, helping clinicians ensure the accuracy and usefulness of cardiac ultrasound scans, particularly the left ventricle function from the 4 chamber apical view. This tool assists clinicians by improving the reliability of echocardiographic assessments.

Saige-Density is a medical software that uses AI deep learning techniques to analyze digital mammograms, producing breast density categories based on ACR BI-RADS guidelines. It helps radiologists assess breast tissue composition by providing adjunctive information, improving breast cancer risk assessment and screening interpretation.

AEYE-DS is an AI-powered retinal diagnostic software that helps healthcare providers automatically detect more than mild diabetic retinopathy in adults with diabetes using fundus images from a Topcon NW400 camera. It improves screening efficiency by analyzing images to identify disease presence, helping to guide timely patient care.

HeartFlow Analysis is a software medical device that uses AI to analyze coronary CT angiography images. It provides detailed anatomical and physiological information about the coronary arteries, helping clinicians assess the risk and severity of coronary artery disease, aiding in treatment planning and diagnosis.