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510(k) Data Aggregation
(124 days)
Intended to be used in the peripheral vascular system to facilitate the placement of devices during diagnostic and interventional procedures.
The Merit Hydrophilic Guide Wire consists of a jacketed core wire with a hydrophilic coating applied to the jacket. The wire will be offered in straight and angled tip shapes, standard and stiff wire configurations, and in various wire lengths and wire diameters.
Unfortunately, the provided document {0} - {6} does not contain the information required to answer the prompt.
The document is a 510(k) premarket notification for a medical device (Merit Hydrophilic Guide Wire). While it details the device's characteristics, intended use, and the types of safety and performance tests conducted, it does not include a table of acceptance criteria with reported device performance or information about a study involving AI assistance or human reader performance.
Specifically, the document discusses:
- Acceptance Criteria: It mentions that tests were shown to "meet the acceptance criteria that were determined to demonstrate substantial equivalence." However, it does not list these criteria or the numerical results for each.
- Study Design/Results: The document lists various performance and biocompatibility tests (e.g., Torqueability, Lubricity, Cytotoxicity), but it does not provide:
- Specific performance metrics against acceptance criteria.
- Sample sizes for these tests (beyond stating "a battery of testing").
- Details about how ground truth was established, or involving expert readers, or multi-reader multi-case studies, as these types of studies are typically associated with AI/imaging device evaluations, not mechanical guidewires.
- Any information regarding human readers, AI assistance, or comparative effectiveness studies of that nature.
This document is from 2020 and pertains to a physical medical device (guidewire) that is unlikely to involve AI or a diagnostic imaging component where such detailed study information (like MRMC or human-in-the-loop performance) would be relevant. The questions in your prompt are highly specific to AI/imaging device evaluations.
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