FDA Radiology AI Devices

The VX1 is a cardiac mapping software tool designed to assist clinicians during atrial fibrillation or atrial tachycardia procedures by analyzing 3D anatomical and electrical maps of the heart's atria. Using machine and deep learning algorithms, it identifies complex dispersed electrograms in real-time to help guide electrophysiologists in annotating areas of interest, potentially improving mapping accuracy during catheter ablation procedures.

The Zio XT and Zio AT ECG Monitoring Systems by iRhythm Technologies, Inc. analyze continuous ECG data collected via wearable patches and generate detailed reports on cardiac events. These systems help clinicians diagnose heart rhythm abnormalities by providing comprehensive, beat-to-beat ECG analysis over long monitoring periods for patients with or without symptoms.

KardiaAI is a software library by AliveCor that analyzes ambulatory ECG rhythms to identify heart conditions such as atrial fibrillation, bradycardia, and tachycardia. It supports integration into other ECG devices and helps clinicians by providing automated ECG noise filtering, heart rate measurement, and rhythm classification to inform diagnosis and monitoring.

RhythmAnalytics is a software tool that analyzes single-lead ECG data to detect cardiac arrhythmias and measure heart-related signals. It helps healthcare professionals by providing supportive interpretations and can be integrated with other devices or platforms to assist clinicians in diagnosing heart rhythm disorders.

The AI-ECG Platform by Shenzhen Carewell Electronics is an AI-powered software that assists healthcare professionals in measuring and interpreting 12-lead resting electrocardiograms (ECGs). It automatically analyzes ECG data, provides diagnostic interpretations for common cardiac abnormalities, and enables physicians to review and modify results. This helps clinicians make more informed cardiac assessments in hospitals and healthcare facilities.

The Zio AT ECG Monitoring System and its ZEUS System component are used for long-term cardiac monitoring by capturing continuous ECG data and analyzing it with AI algorithms to detect arrhythmias. The system helps clinicians by automatically detecting and reporting symptomatic and asymptomatic cardiac events, allowing improved cardiac care and diagnostics.