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510(k) Data Aggregation
(125 days)
A Synthetic Vinyl Examination Gloves, Powder-free, Yellow is a disposable device intended for medical purposes that is worn on the examiner's hand or finger to prevent contamination between patient and examiner.
Synthetic Vinyl Examination Gloves, Powder-free, Yellow
This document is a 510(k) premarket notification decision letter from the FDA for "Synthetic Vinyl Examination Gloves, Powder-Free, Yellow". It confirms that the device is substantially equivalent to legally marketed predicate devices.
The document does not contain any information regarding acceptance criteria or a study that proves the device meets specific performance criteria. It is a regulatory approval letter, not a performance study report.
Therefore, I cannot provide the requested information:
- A table of acceptance criteria and the reported device performance
- Sample sized used for the test set and the data provenance
- Number of experts used to establish the ground truth for the test set and their qualifications
- Adjudication method for the test set
- If a multi reader multi case (MRMC) comparative effectiveness study was done, and its effect size
- If a standalone performance study was done
- The type of ground truth used
- The sample size for the training set
- How the ground truth for the training set was established
Ask a specific question about this device
(89 days)
Synthetic Vinyl Examination Glove, Powder Free is a disposable device intended for medical purposes that is worn on the examiner's hand or finger to prevent contamination between patient and examiner.
Synthetic Vinyl Examination Gloves, Powder-Free
This document is a 510(k) clearance letter from the FDA for "Synthetic Vinyl Examination Gloves, Powder-Free". It does not contain information about acceptance criteria or a study proving that a device meets such criteria in the context of an AI/ML medical device.
The document is a regulatory approval for a medical device (gloves) based on substantial equivalence to a predicate device, not on performance studies against specific acceptance criteria like those used for AI/ML algorithms.
Therefore, I cannot provide the requested information. This document does not describe:
- A table of acceptance criteria and reported device performance.
- Sample sizes for test or training sets, nor data provenance.
- Number or qualifications of experts for ground truth establishment.
- Adjudication methods.
- MRMC comparative effectiveness studies.
- Standalone algorithm performance studies.
- Type of ground truth used.
- Ground truth establishment for a training set.
Ask a specific question about this device
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