The Affera Integrated Mapping System with the Impedance Localization Patch Kit is a computer-based diagnostic tool designed to assist clinicians in catheter-based cardiac electrophysiological mapping. It provides real-time visualization of catheters, maps cardiac signals, and helps guide therapeutic interventions by displaying detailed cardiac maps and signals, enhancing cardiac procedure accuracy and patient care.
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 Intra-Operative Positioning System (IOPS) by Centerline Biomedical uses a fiducial tracking pad and a guidewire handle for real-time tip positioning and navigation during endovascular interventions. By leveraging 3D vascular models derived from prior CT scans, it helps clinicians accurately guide catheters and guidewires inside the descending aorta as an adjunct to fluoroscopy, enhancing procedure precision without providing a diagnosis itself.
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.
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.
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.
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