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510(k) Data Aggregation
(118 days)
FlexiGo 3D Delivery Catheter
The Delivery Catheter is intended for the venous introduction of pacing or defibrillation leads.
The modified Delivery Catheter (FlexiGo 3D Delivery Catheter) is a single-use percutaneous catheter intended for venous introduction of pacing or defibrillation leads.
The modified Delivery Catheter is packaged with a dilator and two (2) trans vavular introducers for introduction into the vasculature. Proximally, the modified Delivery Catheter is equipped with a hemostatic valve, and the distal soft, rounded, radiopaque tip facilitates imaging under fluoroscopy. The modified Delivery Catheter is designed to be slittable, thereby allowing its removal after device placement. A variety of curves and lengths are available to accommodate various anatomies and different locations.
This document describes the FDA 510(k) Clearance Letter for the "FlexiGo 3D Delivery Catheter." This is a medical device, and the information provided details its intended use, comparison to a predicate device, and the performance data submitted for its clearance. However, the provided document does not contain any information related to an AI/ML (Artificial Intelligence/Machine Learning) device or study.
Therefore, I cannot provide a response that describes "Acceptance Criteria and the Study that Proves the Device Meets the Acceptance Criteria" in the context of an AI/ML device, nor can I fill in a table of acceptance criteria for an AI/ML device or discuss MRMC studies, training/test sets, or ground truth establishment relevant to AI/ML.
The provided text pertains to a traditional medical device (a catheter) and discusses its physical and functional characteristics, material compatibility, and standard medical device performance testing (biocompatibility, sterilization, dimensional verification, etc.).
To address your request, I would need a document describing an AI/ML medical device and its associated clinical study, statistical methodology, and performance metrics relevant to AI/ML algorithm evaluation.
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