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510(k) Data Aggregation
(86 days)
s-Clean Link Abutment Narrow
s-Clean Link Abutment Narrow is intended for use with dental implant as a support for single or multiple tooth prostheses in mandibular central and lateral incisors and maxillary lateral incisors.
s-Clean Link Abutment Narrow is intended for use with the s-Clean OneQ-SL Narrow Fixture according to connector part in the chart. All digitally designed zirconia for use with s-Clean Link Abutment Narrow are intended to be manufactured at a Dentis validated milling center.
The s-Clean Link Abutment Narrow is intended to provide support for customized prosthetic restorations such as crowns and bridges. The s-Clean Link Abutment is composed of a two-piece abutment that is a link abutment at the bottom and a coping (CAD/CAM patient specific superstructure) as the top-half. The submission also includes an abutment fixation screw. The s-Clean Link Abutment are pre-manufactured (stock) abutments, made from a titanium alloy conforming to ASTM F136.
The top half of the s-Clean link abutment composed of zirconia is referenced from our previously cleared K222913 submission.
s-Clean Abutment Screw is made of Ti-6Al-4V ELI (ASTM F136) and cleared in K161244.
The diameters of s-Clean Link Abutment Narrow are 4.0 and 4.5mm.
s-Clean Link Abutment Narrow is provided non-sterile and must be sterilized after the cementation of the patientspecific superstructure on the Link Abutment Narrow.
Accessing the provided text, there is no information about an AI/ML device, its acceptance criteria, or a study proving that it meets those criteria. The document describes a traditional medical device, specifically a dental implant abutment (s-Clean Link Abutment Narrow), and its 510(k) clearance process.
Therefore, I cannot provide the requested information. The text does not contain details regarding:
- A table of acceptance criteria and reported device performance for an AI/ML device.
- Sample sizes or data provenance for an AI/ML test set.
- The number or qualifications of experts for establishing ground truth for an AI/ML device.
- Adjudication methods for an AI/ML test set.
- A multi-reader multi-case (MRMC) comparative effectiveness study for AI assistance.
- Stand-alone performance of an AI algorithm.
- The type of ground truth used for an AI/ML device.
- The sample size for an AI/ML training set.
- How ground truth for an AI/ML training set was established.
The document focuses on non-clinical testing for equivalence to a predicate device, material testing, sterilization validation, biocompatibility, and MRI compatibility for a physical dental implant component.
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