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The Sterile Safety Insulin Syringes For Single Use are a sterile, single-use, disposable and non-reusable, manual retractable safety insulin syringe intended for injection of U40 or U100 insulin into the body, the sliding sleeve helps protect against needle puncture once activated.

KDL Sterile safety insulin syringes have a sliding sleeve which is designed to shield the injection needle to protect the user from needle puncture and the sliding sleeve helps protect against needle puncture once activated. The sliding sleeve can be activated manually.

The provided text is a 510(k) summary for a medical device (Sterile Safety Insulin Syringes for Single Use) and primarily focuses on demonstrating substantial equivalence to a predicate device, rather than presenting a study proving the device meets specific acceptance criteria in the format requested.

The document outlines conformity to various ISO standards and other regulatory requirements but does not detail a specific study with an acceptance criteria table, sample sizes for test/training sets, expert qualifications, or MRMC study results as one might expect for a diagnostic AI/imaging device. Instead, it describes a series of non-clinical tests to verify design specifications and compliance with recognized standards.

Therefore, many sections of your request cannot be directly answered from the provided text.

Here's what can be extracted and inferred:

1. A table of acceptance criteria and the reported device performance

The document lists several ISO standards that the device "complies with" or "conforms to." These standards inherently contain acceptance criteria, and the statement of compliance/conformance indicates that the device met these criteria. However, specific numerical acceptance criteria and reported device performance values are not explicitly stated in a consolidated table format in this document. Instead, compliance with the standard is the reported performance.

2. Sample size used for the test set and the data provenance

The document states "Non-clinical tests were conducted to verify that the proposed device met all design specifications." However, specific sample sizes for these tests are not provided. The data provenance (e.g., country of origin, retrospective/prospective) is also not specified.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

This type of information is generally relevant for studies involving human interpretation or subjective assessment, particularly in AI or imaging diagnostics. For a non-clinical device like a syringe, "ground truth" is established through physical and chemical testing against defined standards. Therefore, this information is not applicable and not provided in the document.

4. Adjudication method for the test set

Similarly, adjudication methods (e.g., 2+1, 3+1) are common in studies where multiple human readers interpret data that is then arbitrated. This is not applicable to the non-clinical testing of a syringe and therefore not provided.

5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

An MRMC study is relevant for evaluating the impact of AI assistance on human performance, typically in diagnostic tasks. This document describes a physical medical device (syringe) and its non-clinical testing. Therefore, an MRMC comparative effectiveness study is not applicable and not performed/reported.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

This question is also related to AI algorithm performance. As this document concerns a physical syringe, a standalone algorithm performance study is not applicable and not performed/reported. The non-clinical tests served as the "standalone" evaluation of the device's physical properties.

7. The type of ground truth used

For this device, the "ground truth" used for testing would be the specifications and requirements defined by the various ISO standards and USP . This includes physical dimensions, material properties, sterility, particulate matter limits, and biocompatibility criteria.

8. The sample size for the training set

This question is relevant for AI/machine learning models. For the non-clinical testing of a physical medical device, there is no "training set" in the AI sense. This information is not applicable and not provided.

9. How the ground truth for the training set was established

Again, this is relevant for AI/machine learning. For this device's non-clinical testing, there is no training set. The "ground truth" for evaluating the device's conformance to standards is established by the scientific and regulatory consensus embodied in the ISO standards and USP monographs themselves. This information is not applicable and not provided.

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