FDA Radiology AI Devices

SomnoMetry, developed by Neumetry Medical Inc, is an AI-powered software that helps clinicians analyze sleep studies by automatically scoring physiological signals from polysomnography tests. It aids in diagnosing sleep quality and respiratory sleep disorders such as obstructive apnea, facilitating more efficient and accurate sleep study evaluations under clinical supervision.

The ZEUS System (Zio Watch) is a prescription-based wearable device and software system that uses AI to analyze cardiac signals from an ECG and PPG sensor to detect and report atrial fibrillation. It provides clinicians with detailed reports to aid in diagnosing and managing atrial fibrillation in adult patients.

The Vivid iq is a high-performance compact diagnostic ultrasound system designed for cardiovascular and shared service imaging. It assists healthcare professionals in ultrasound imaging, measurement, display, and analysis of human body and fluid, across a wide range of clinical applications including fetal, cardiac, abdominal, musculoskeletal, and vascular imaging. It incorporates advanced ultrasound modes such as Doppler, color Doppler, harmonic imaging, and real-time 3D imaging, supporting various transducers and enabling flexible clinical use in hospital and office environments.

The Eko Murmur Analysis Software (EMAS) is a cloud-based AI-driven tool that analyzes heart sound and ECG data to detect and classify heart murmurs, distinguishing between innocent and structural murmurs. It supports clinicians by offering decision support in evaluating heart sounds, enhancing the diagnostic process for pediatric and adult patients without replacing clinical judgment.

IDx-DR v2.3 is an AI-based diagnostic software that automatically detects more than mild diabetic retinopathy from retinal images captured with a Topcon NW400 fundus camera. It helps healthcare providers identify patients who need referral to eye care professionals, improving timely diagnosis and management of diabetic retinopathy.

The Atrial Fibrillation History Feature is a software application designed to analyze pulse rate data from Apple Watch sensors to detect episodes of irregular heart rhythm indicative of atrial fibrillation (AFib). It provides users with estimates of the amount of time spent in AFib over past periods and visualizes this alongside lifestyle data to help users understand the impact of their behavior on their condition. It assists patients in monitoring AFib burden over time but is not meant to replace traditional diagnosis or treatment methods.

DEEPVESSEL FFR is a clinical software tool that uses deep learning to analyze previously acquired coronary CT angiography (CTA) images. It generates three-dimensional models of coronary artery trees and estimates fractional flow reserve (FFR) values to help clinicians assess the functional severity of coronary artery disease. It supports doctors by providing additional insight beyond anatomical imaging, using AI-based physiological simulation to improve diagnosis and treatment planning for heart vessel conditions.

LiverSmart is a software that automatically analyzes MRI images of the liver to measure both liver iron concentration and liver fat content. It processes images according to established protocols and generates a comprehensive report that assists clinicians in diagnosing and monitoring liver conditions such as iron overload and fatty liver disease, supporting treatment decisions and research.

Koios DS is a web-based AI software that helps trained physicians analyze ultrasound images of breast lesions and thyroid nodules suspicious for cancer. It automatically selects regions of interest, classifies lesions using standardized lexicons like BI-RADS and TI-RADS, provides cancer risk assessments, and generates structured reports to aid in clinical decision-making, improving diagnostic accuracy and reducing variability.

The AHI System is a software tool that helps healthcare professionals monitor adult patients' cardiovascular status by analyzing ECG signals to detect signs of current hemodynamic instability and predict future episodes. It provides continuous updates and color-coded alerts for clinicians to increase vigilance and improve patient care.