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510(k) Data Aggregation
(271 days)
SancDam Latex Oral Dam
The SancDam™ Latex Oral Dam is used as a barrier when engaging in oral/vaginal sex to help reduce the transmission of bodily fluids, harmful pathogens, and sexually transmitted infections.
The SancDam™ Latex Oral Dam are rectangular shaped, non-porous, intact polymer films made of natural rubber latex that are placed over the vagina or anus during oral sexual contact. The dam is used as a physical barrier to cover the external female genitalia or the anal area. The SancDam™ has a smooth surface on both sides. The size of the SancDam™ is 155 mm (± 5 mm) by 254 mm (± 5 mm) by 0.07 mm (± 0.02 mm). The SancDam™ available in 4 different flavors and colors versions as listed below: Pink Strawberry, Green Mint, Yellow Vanilla, Purple Grape.
This document is a 510(k) Premarket Notification for the SancDam™ Latex Oral Dam. It outlines the device's characteristics, indications for use, and a comparison to a predicate device to establish substantial equivalence.
Based on the provided text, the device in question is a Latex Oral Dam, which is a physical barrier used during oral/vaginal and oral/anal sex to reduce the transmission of bodily fluids, harmful pathogens, and sexually transmitted infections.
The document does not describe an AI/ML-driven device or study parameters that align with the request for information on acceptance criteria and study proving device meets acceptance criteria for such a device. The tests performed are standard non-clinical bench tests for a latex barrier device.
Therefore, I cannot provide the requested information about acceptance criteria and study details for an AI/ML device from this document. The document describes a physical medical device, not a software or AI-based one.
No information provided in the document covers the following requested points:
- A table of acceptance criteria and reported device performance for an AI/ML device.
- Sample sizes, data provenance, number of experts, adjudication methods, or ground truth types related to an AI performance study.
- Multi-reader multi-case (MRMC) comparative effectiveness studies or standalone algorithm performance.
- Training set details for an AI model.
The document focuses on non-clinical testing for a physical latex product and comparison to a predicate device for substantial equivalence, not on the performance of an AI/ML algorithm.
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