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The intended indications for use of the PICO 14 is for individuals with mild to moderate pain associated with carpal tunnel syndrome. It is designed to provide support and compression to the wrist, helping to alleviate discomfort and promote healing.

A very compact and versatile smart plug with Wi-Fi connectivity, energy monitoring, and scheduling capabilities.

The provided text describes the FDA clearance for the DBB-06 PRO Hemodialysis Delivery System. However, it does not contain detailed information regarding acceptance criteria for specific device performance metrics (e.g., sensitivity, specificity, accuracy) nor does it describe specific studies that prove the device meets such criteria in the context of an AI/algorithm-driven medical device.

The document focuses on:

• Safety and Performance of a Physical Hemodialysis Machine: It outlines various engineering specifications, material compatibility, sterilization validation, electrical safety, and software verification for a hemodialysis delivery system.
• Substantial Equivalence: The primary goal of the 510(k) submission is to demonstrate that the DBB-06 PRO is substantially equivalent to predicate devices (DBB-06 Hemodialysis Delivery System and 2008T Bluestar Hemodialysis Machine).
• General Performance Testing: The "Performance – Bench Testing" section lists various types of tests conducted (e.g., "System Level Performance Testing," "Disinfection Validation Testing," "Bacterial Retention Testing"), but it does not provide acceptance criteria for these tests nor the specific performance results in a way that would allow for the population of the requested table for an AI model.

Therefore, most of the requested information cannot be extracted from this document, as it pertains to a physical medical device (hemodialysis machine) rather than an AI-driven diagnostic or prognostic algorithm. Specifically, sections 1-7 of your request are not applicable as presented because there is no AI/algorithm being evaluated for diagnostic or prognostic performance with associated metrics like sensitivity, specificity, or reader studies.

The document does mention "Software controls the machine during hemodialysis treatment" and "Software Verification and Validation Testing," indicating software components are present, but these are for controlling the machine's operation, not for diagnostic interpretation or prediction in an AI context.

Here's what can be extracted, and where limitations exist:

1. Table of Acceptance Criteria and Reported Device Performance

• Limitation: The document provides "Key Performance Characteristics" (Table 1) for various mechanical and electrical aspects of the hemodialysis machine. These are specifications (e.g., "Flow rate accuracy: Set value ±10%") rather than acceptance criteria for an AI model's diagnostic/prognostic performance (like sensitivity, specificity, AUC). No reported performance results against specific acceptance criteria for AI are available.

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