FDA Radiology AI Devices

The Artix™ MT and Artix™ Thin-Walled Thrombectomy Sheath are devices designed to remove clots non-surgically from peripheral blood vessels. They facilitate catheter insertion and vascular access, allowing for mechanical thrombectomy and thrombus aspiration, which assists clinicians in restoring blood flow during vascular interventions.

The ShortCut device by Pi-Cardia Ltd. is a single-use catheter designed to safely split bioprosthetic aortic valve leaflets to facilitate valve-in-valve procedures in patients at risk of coronary obstruction. This catheter-based tool is inserted via the femoral artery and positions its distal cutting element on valve leaflets to perform precise cuts, helping improve blood flow and reduce complications during transcatheter valve replacement procedures. It has been demonstrated in clinical studies to be effective and safe, providing a new treatment option for high-risk patients undergoing valve-in-valve procedures.

HeartKey Rhythm is a software platform designed to analyze ECG data from various ambulatory monitoring devices such as Holters and ECG patches. Using a combination of machine learning and signal processing, the software detects heartbeats, assesses rhythm, and identifies arrhythmias to assist healthcare professionals in diagnosing cardiac conditions. It integrates through an API into other ECG management or monitoring systems and supports non-urgent clinical decision making.

The FaceHeart Vitals Software Development Kit (FH vitals SDK) is an AI-based software that measures pulse rate from facial video streams using standard cameras on mobile devices or computers. It provides non-invasive, real-time pulse rate monitoring for adults at rest, intended to assist healthcare professionals but not to replace critical care or continuous monitoring. The SDK uses face recognition and signal processing algorithms to produce accurate pulse rate measurements, helping clinicians monitor patient heart rate remotely or in general healthcare settings.

The Global Hypoperfusion Index (GHI) Algorithm is a software tool used on compatible advanced monitoring platforms to predict the risk of a global hypoperfusion event in surgical or non-surgical patients. It analyzes physiological data to provide clinicians with early warning of potential hemodynamic instability, helping to anticipate and manage patient deterioration in critical care settings.

The Saranas Early Bird Bleed Monitoring System is a single-use medical device designed to be inserted into the femoral artery or vein during endovascular procedures. It detects and monitors internal bleeding by measuring changes in bioimpedance, providing early indications of potential bleeding complications to physicians. This helps clinicians maintain patient safety by enabling early intervention during or after vascular interventions.

The ZEUS System by iRhythm Technologies is a software platform designed to analyze ECG data from wearable cardiac monitors to detect arrhythmias and other heart rhythm abnormalities. It uses AI algorithms to automatically process and identify cardiac events, assisting clinicians in diagnosing and managing heart conditions by generating detailed reports from long-term ECG recordings.

The VX1+ by Volta Medical is an advanced cardiac mapping system that uses machine learning to assist clinicians by automatically or manually annotating 3D anatomical and electrical maps of the heart's atria. It helps identify areas exhibiting complex electrical activity during arrhythmias such as atrial fibrillation, potentially aiding catheter ablation procedures.

The STAR Apollo Mapping System is a software tool designed to help physicians analyze detailed electrical and anatomical heart maps collected during cardiac procedures for atrial fibrillation. By processing data from mapping catheters and displaying key activation patterns in the atria, it provides supplementary information that may assist clinicians in identifying areas of irregular heart activation, although its clinical significance is not yet established.

DeepRhythmAI is a cloud-based AI software that automatically analyzes two-lead ECG data to detect cardiac arrhythmias. It supports healthcare professionals by providing analysis results that need to be reviewed and confirmed. It is designed for integration into other medical devices or software platforms and assists clinicians in identifying rhythm issues in adult patients.