FDA Radiology AI Devices

EchoGo Amyloidosis (1.0) is an automated AI decision support system that analyzes 2D echocardiograms (specifically apical four chamber view) to screen for cardiac amyloidosis in adults over 65 years with heart failure. It helps clinicians by classifying patients as suggestive or not suggestive of cardiac amyloidosis, enabling referral for confirmatory testing. The AI was trained on large datasets and validated clinically to ensure accuracy and safety.

Frontier X Plus is a wearable ECG event recorder that monitors heart rhythms by capturing single-channel ECG signals via a chest strap. It automatically analyzes the ECG data using an embedded algorithm to detect arrhythmias such as atrial fibrillation, bradycardia, and tachycardia. The device helps clinicians monitor and diagnose heart conditions in adult patients, particularly those with suspected or known cardiac issues, by storing and transferring ECG data for physician review.

EchoGo Heart Failure 2.0 is an AI-powered software tool that analyzes echocardiogram images of the heart's apical four-chamber view to support clinicians in detecting heart failure with preserved ejection fraction (HFpEF). It provides a diagnostic aid by outputting a classification and a confidence score, enhancing cardiovascular assessments and helping guide clinical decision-making.

Tempus ECG-AF is an AI-powered software that analyzes standard 12-lead ECG recordings from patients aged 65 and older to detect signs indicating an increased risk of atrial fibrillation or atrial flutter within the next 12 months. It assists clinicians by providing risk notifications based on ECG data, improving early identification of patients who may require further diagnostic follow-up.

Corvair is an AI-powered software that analyzes resting ECG recordings to detect various heart rhythms, morphological abnormalities, and measure ECG intervals. It supports healthcare professionals by providing an initial automated interpretation of ECGs to assist in cardiac diagnosis, enhancing accuracy and efficiency in clinical settings.

APPRAISE-HRI is a mobile health app designed for military healthcare providers that uses vital signs like heart rate and blood pressure collected from an external monitor to assess and stratify the risk of hemorrhage in trauma patients. This helps medics identify individuals who need urgent care or evacuation by providing a continuous hemorrhage risk score in real-time, improving situational awareness and clinical decisions post-trauma.

The CorVista System with PH Add-On is a non-invasive AI-based medical device that analyzes sensor-acquired cardiac electrical and hemodynamic signals to indicate the likelihood of elevated pulmonary arterial pressure, aiding clinicians in diagnosing pulmonary hypertension. It provides results through a user-friendly digital interface and supports healthcare providers by combining the AI output with clinical judgment.

Eko Low Ejection Fraction Tool (ELEFT) is an AI-based software device that analyzes ECG and heart sound recordings to help clinicians identify patients with reduced left ventricular ejection fraction (LVEF ≤ 40%), a marker of potential heart failure. It is intended for use on adults at risk of heart failure and supports referral decisions for further testing like echocardiography, without replacing diagnostic procedures.

The CLEWICU System is a software platform that uses AI machine learning models to predict the likelihood of future hemodynamic instability in adult patients in various hospital critical care units. It integrates patient data from electronic health records and monitoring devices to help clinicians assess a patient's risk of clinical deterioration or stability, providing valuable physiological insights as an aid to clinical judgment.

The Low Ejection Fraction AI-ECG Algorithm by Anumana, Inc. is a software tool that analyzes 12-lead ECG signals using AI to aid in screening for patients with low left ventricular ejection fraction (≤ 40%). It helps clinicians identify adults at risk of heart failure to decide if further cardiac evaluation is needed. It works quickly on routine ECGs and does not replace diagnostic imaging but supports clinical judgment.