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DESS Dental Smart Solutions abutments are intended to be used in conjunction with endosseous dental implants in the maxillary or mandibular arch to provide support for prosthetic restorations.

All digitally designed custom abutments for use with DESS Bases or Pre-milled Blanks are to be sent to a Terrats Medical validated milling center for manufacture, or to be designed and manufactured according to the digital dentistry workflow. The digital dentistry workflow integrates multiple components: scan files from intra-oral and lab (desktop) scanners, CAD software, CAM software, ceramic material, milling machine, and associated tooling and accessories.

The purpose of this submission is to expand the DESS Dental Smart Solutions abutment system cleared under K221301 and K240982 to allow additional options of zirconia material, scanners, CAM software, and milling machines to the digital dentistry workflow. The subject devices are to be sent to Terrats Medical validated milling centers for manufacture, or to be designed and manufactured via a digital dentistry workflow. The digital dentistry workflow integrates multiple components: scan files from intra-oral and lab (desktop) scanners, CAD software, CAM software, titanium and ceramic material, milling machine, and associated tooling and accessories. There are no changes to the abutment design, implant compatibilities, or design parameters. All part numbers have been cleared for manufacturing via a validated milling center and digital dentistry workflows (also referred to as point of care) under K221301 and K240982.

The subject device DESS Dental Smart Solutions abutments provide a range of prosthetic solutions for dental implant restoration. DESS abutments are offered in a variety of connection types to enable compatibility with currently marketed dental implants. All abutments are provided non-sterile, and each abutment is supplied with the appropriate abutment screw (if applicable) for attachment to the corresponding implant.

Subject device Base Abutments are designed for fabrication of a patient-specific CAD/CAM zirconia superstructure on which a crown may be placed. They are two-piece abutments for which the second part (or top half) is the ceramic superstructure. They also may be used for support of a crown directly on the abutment.

All patient-specific custom abutment fabrication for Base Abutments and Pre-milled (Blank) Abutments is by prescription on the order of the clinician. The subject device Pre-milled (Blank) Abutments and all zirconia superstructures for use with the subject device Ti Base Interface, DESS Aurum Base, ELLIPTIBase, and DESS C-Base will be manufactured using a validated milling center or a digital dentistry workflow. A validated milling center will be under FDA quality system regulations. The digital dentistry workflow scans files from intra-oral and lab (desktop) scanners, CAD software, CAM software, titanium and ceramic material, milling machine and associated tooling and accessories.

The digital dentistry workflow uses scan files from intra-oral and lab (desktop) scanners, CAD software, CAM software, ceramic material, milling machine and associated tooling and accessories.

The provided 510(k) summary for DESS Dental Smart Solutions focuses on demonstrating substantial equivalence to predicate devices for dental implant abutments. It primarily addresses the expansion of compatible materials, scanners, CAM software, and milling machines within an existing digital dentistry workflow. The document does not describe an AI/ML-based device that would typically have acceptance criteria related to diagnostic performance.

Therefore, many of the requested items related to AI/ML device performance (like acceptance criteria for diagnostic metrics, sample size for test sets, data provenance, expert qualifications, adjudication methods, MRMC studies, standalone performance, and training set details) are not applicable to this submission.

The acceptance criteria and supporting "study" (non-clinical data) for this device are related to its mechanical performance, biocompatibility, and integration within the digital workflow, demonstrating that the expanded components maintain the safety and effectiveness of the previously cleared predicate devices.

Here's a breakdown based on the information provided and the non-applicability of AI/ML-specific questions:

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

Since this is not an AI/ML diagnostic device, the acceptance criteria are not in terms of traditional diagnostic metrics (sensitivity, specificity, AUC). Instead, they are related to material properties, mechanical integrity, and the digital workflow's accuracy.

• Abutment design library validated to demonstrate established design limitations are locked and cannot be modified by the user. (Implies successful implementation and verification of design constraints.) |
  | CAM Restriction Zones / Manufacturing Accuracy | - Validation testing of CAM restriction zones conducted, including verification to show avoidance of damage or modifications of the connection geometry, and locking of restriction zones from user editing in CAM software. (Implies successful validation to ensure manufacturing precision and prevent damage.) |
  | Material Conformance | - Zirconia materials conform to ISO 6872.
• Titanium alloy conforms to ASTM F136.
• Co-Cr-Mo alloy conforms to ASTM F15337. (Implies materials meet standards.) |
  | Physical Dimensions | - Device encompasses the same range of physical dimensions as the predicate device. (Implies dimensional equivalence.) |

2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

• Sample Size: Not explicitly stated in terms of a "test set" for diagnostic performance. The validation involved physical testing of components (e.g., fatigue testing) and software verification. The specific number of abutments or digital design instances used for these non-clinical tests is not detailed in this summary.
• Data Provenance: Not applicable in the context of patient data for an AI/ML device. The "data" here refers to engineering and material testing results, likely conducted in controlled lab environments (implied to be in accordance with international standards like ISO and ASTM). The manufacturer is Terrats Medical SL, in Spain, so testing would likely originate from their facilities or contracted labs.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

Not applicable. This is not a diagnostic device requiring expert interpretation for ground truth. The "ground truth" for this device relates to engineering specifications and material science.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

Not applicable. This is not a diagnostic device involving expert review adjudication.

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

Not applicable. This device is not an AI-assisted diagnostic tool.

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

Not applicable. This is not an AI/ML algorithm.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

For this device, the "ground truth" is based on:

• Engineering Specifications: Defined design parameters (e.g., minimum wall thickness, post height, angulation limits).
• Material Standards: Conformance to international standards such as ASTM F136, ISO 6872.
• Benchmarking/Predicate Equivalence: Performance is assessed against established performance of the predicate devices and OEM implant systems.
• Software Validation Logic: Verification that software correctly enforces design rules and CAD/CAM restrictions.

8. The sample size for the training set

Not applicable. This device does not involve a machine learning training set.

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

Not applicable. This device does not involve a machine learning training set.

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ArgenZ MTZ zirconia can be used for the production of full-contour and substructure restorations up to and including a full arch.
All blanks are processed by dental laboratories or by dental professionals.

The ArgenZ MTZ (referring to multi-translucent, multi-layer) zirconia consist of yttria-stabilized pre-shaded 4 mole and 5 mole percent zirconia.
They are manufactured (pressed and sintered) into disc forms and offered multiple thicknesses and multiple shades. They contain oxides of Hafnium and Aluminum and minute amounts of coloring oxides of iron, erbium, cobalt and manganese.
The discs are single use, non-sterile devices and used for fabricating dental restorations, using CAD/CAM systems that can accommodate the disc sizes.

The provided document is a 510(k) Premarket Notification for a dental device, ArgenZ MTZ, which is a dental zirconia ceramic. It outlines the device's characteristics and compares it to a legally marketed predicate device to establish substantial equivalence.

This document describes the device itself and its physical and chemical properties, but does not describe a study involving a human expert in the loop (e.g., radiologist) or an AI algorithm for diagnostic purposes. Therefore, many of the requested items related to AI/human performance studies are not applicable to the information contained in this document.

However, I can extract information related to the acceptance criteria for the device's physical and chemical properties and how those properties were tested.

Here's a breakdown of the available information:

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

The document provides a "Substantial Equivalence Comparison Table" that lists various physical and chemical properties and the device's performance against specified criteria, which effectively serve as acceptance criteria to demonstrate equivalence to the predicate device and compliance with ISO standards.

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