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Duranext Abutments are intended for use with dental implants as a support for single or multiple toth prostheses in the maxilla or mandible of a partially or fully edentulous patient.

Duranext Abutments from Elegant Direct Corp. are a line of machinable blanks incorporating interface features compatible with eleven (11) endosseous dental implant system platforms (three (3) designs from two (2) manufacturers) and intended to be milled at an Elegant Direct Corp. validated milling center to produce patient-specific dental implant abutments. The subject device platform diameters range from 3.0 mm to 6.0 mm, and the corresponding compatible implant body diameters range from 3.0 mm to 6.0 mm.

Duranext Abutments are designed for fabrication of custom titanium alloy dental implant abutments by a CAD/CAM process. All patient-specific custom abutment fabrication is by prescription on the order of the clinician. The portion of each abutment available for milling is 9.5 mm in diameter and 20 mm long. The apical end is premanufactured to fit the compatible implant platform, as shown above, and is available in an engaging (anti-rotation) design. A feature at the coronal end of the abutment is provided to interface with the milling equipment. Each abutment is provided with a screw designed to fit the compatible implant. The patient-specific abutment is intended to support a cement-retained single crown or multi-unit restoration.

The provided document is a 510(k) summary for the Duranext Abutments, a dental device. It does not describe a study involving an AI algorithm or human-in-the-loop performance. Therefore, I cannot extract the information required for questions about AI performance, multi-reader multi-case studies, or specific details of ground truth establishment for AI training/testing.

However, I can provide information about the acceptance criteria and the non-clinical study that proves the device meets those criteria, as well as general device information.

Here's what can be extracted based on the document:

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

The document does not explicitly present a table of "acceptance criteria" in the format of a diagnostic test (e.g., sensitivity, specificity). Instead, substantial equivalence is claimed based on performance testing and comparison to predicate devices for mechanical properties, biocompatibility, and sterilization. The acceptance criteria are implicitly met by successful completion of these tests in accordance with relevant ISO standards.

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

The document does not mention "test sets" in the context of diagnostic data. The "testing" refers to non-clinical performance testing of the physical abutment blanks. The sample sizes for these specific engineering tests (e.g., number of abutments tested for fatigue) are not provided in this summary. The provenance is implied to be from the manufacturer's testing or a contracted lab.

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, as this is a physical medical device (dental abutment) and the evaluation is based on non-clinical performance testing against engineering standards, not diagnostic interpretation by experts.

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

Not applicable. Adjudication methods like 2+1 or 3+1 are used for establishing ground truth in diagnostic studies, which is not what this document describes.

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 a dental abutment, not an AI-powered diagnostic tool. No MRMC study was conducted.

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

Not applicable. This device is not an algorithm.

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

The "ground truth" for this device's performance is established by engineering standards and physical measurements. For example:

• Biocompatibility: Established by adherence to ISO 10993 series standards, which involves methods like cytotoxicity testing.
• Mechanical Strength: Established by dynamic fatigue testing according to ISO 14801, which defines acceptable load cycles and failure modes.
• Dimensional Compatibility: Established by reverse engineering and direct measurement against OEM specifications.

8. The sample size for the training set

Not applicable. This device is not an AI algorithm, so there is no training set in the context of machine learning.

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

Not applicable. As above, there is no training set. The "ground truth" for the device's design and manufacturing parameters is established via engineering specifications, material properties, and adherence to relevant ISO standards, rather than a labeled dataset.

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