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510(k) Data Aggregation
(62 days)
The IMM Hypodermic Needle Set is to be used for sampling blood from or infusing fluid into body system underneath the skin.
The IMM™ Hypodermic Needle Set consists of a conventional stainless steel needle, needle hub, extension tubing, clamp, and standard female 6% luer conical fitting for connection to a device contains a male luer fitting.
The provided text describes the 510(k) premarket notification for the IMM Hypodermic Needle Set. It details the device, its intended use, and a summary of performance. However, this document does not describe a study involving AI or machine learning.
Instead, it refers to:
- Functional and performance tests demonstrating compliance with voluntary standards (ISO 594, ISO 7864).
- Biocompatibility tests meeting requirements per ISO 10993.
Therefore, many of the requested categories related to AI studies (such as sample size for test/training sets, experts for ground truth, MRMC studies, standalone performance with AI, etc.) cannot be answered from the provided text.
Here's the information that can be extracted:
Acceptance Criteria and Device Performance (Non-AI Study)
Acceptance Criteria Category | Specific Standard/Requirement Met | Reported Device Performance |
---|---|---|
Functional & Performance | ISO 594 (Luer conical fittings) | Meets specific requirements |
ISO 7864 (Sterile hypodermic needles for single use) | Meets specific requirements | |
Biocompatibility | ISO 10993 ("Limited exposure, indirect blood path, external communicating device") | Meets requirements |
Information Not Applicable/Available for an AI Study:
Since this is a submission for a traditional medical device (hypodermic needle set) and not an AI/ML powered device, the following points are not applicable or cannot be answered from the provided document:
- Sample size used for the test set and the data provenance: Not applicable. Performance was demonstrated against engineering and biological standards, not a clinical test set in the context of AI.
- Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not applicable. Ground truth for an AI test set is not relevant here.
- Adjudication method (e.g., 2+1, 3+1, none) for the test set: Not applicable.
- 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: Not applicable. This is not an AI-assisted device.
- If a standalone (i.e. algorithm only without human-in-the-loop performance) was done: Not applicable. There is no algorithm.
- The type of ground truth used (expert consensus, pathology, outcomes data, etc.): Not applicable to an AI study. The "ground truth" here involved physical and chemical properties assessed against established international standards.
- The sample size for the training set: Not applicable. There is no training set for an AI model.
- How the ground truth for the training set was established: Not applicable. There is no training set for an AI model.
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