FDA Radiology AI Devices

The PhysCade System is a specialized AI-driven software and hardware platform designed to analyze and visualize intra-cardiac electrophysiological data collected during heart rhythm studies. It helps clinicians by providing detailed maps identifying early activation sites and other features of interest in the heart during arrhythmia procedures. This assists physicians to make more informed clinical decisions during electrophysiology procedures, improving patient care for those with heart rhythm disorders.

DeepRhythmAI is a cloud-based AI software that automatically analyzes ECG data from one or two leads to detect cardiac arrhythmias. It supports integration with various ECG recording devices and systems, providing clinicians with supportive analysis to aid in diagnosis, improving cardiac rhythm assessment accessibility and efficiency.

VitalRhythm is a cloud-based AI software that continuously analyzes ECG signals to detect various cardiac arrhythmias. It works with a wearable biosensor (VitalPatch) and displays results to healthcare professionals for non-urgent clinical decision-making in outpatient and non-critical care settings. It helps clinicians monitor heart rhythms remotely and efficiently, assisting in diagnosis without replacing clinical judgment.

Mac-Lab (AltiX AI.i), CardioLab (AltiX AI.i), ComboLab (AltiX AI.i), and MLCL Client Software (AltiX AI.i) are hemodynamic and electrophysiology recording systems developed by GE Healthcare. These systems record and display physiological data during cardiovascular procedures, allowing clinicians to analyze hemodynamic and electrophysiology signals in real time. The MLCL Client Software allows additional data analysis and remote viewing. These tools help doctors monitor and analyze patients' cardiovascular function during interventional procedures.

DeepRhythmAI is a cloud-based AI software that analyzes two-lead ECG data to detect cardiac arrhythmias in adult patients. It integrates with ambulatory ECG devices like Holter monitors and cardiac telemetry systems to help healthcare professionals review and confirm arrhythmia diagnoses, providing supportive information alongside clinical knowledge.

Volta AF-Xplorer is a medical software device that helps doctors analyze and annotate electrical signals from the heart in real-time. It uses machine learning to detect areas in the atria that exhibit abnormal electrical patterns during atrial fibrillation or tachycardia, supporting catheter ablation procedures. This software integrates with cardiac mapping systems to improve the precision and efficiency of cardiac electrophysiology interventions.

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.

IM007 by Implicity, Inc. is an AI-powered software that analyzes ECG data from Insertable Cardiac Monitors to help healthcare professionals detect various cardiac arrhythmias, such as atrial fibrillation and ventricular tachycardia. It works by processing ECG signals remotely uploaded from compatible devices and provides analysis results to clinicians to support diagnosis and patient monitoring.

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.