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Rodo Abutment System is intended to be used in conjunction with compatible implant systems in the maxillary or mandibular arch to provide support for crowns, bridges or overdentures.

The Rodo Abutment System includes the Rodo Abutment, Smileloc Sleeve, Titanium Coping, Temporary Cap, abutment screws, the Smileloc Activator (or Smileloc Remover) (all cleared under K160786) and Smilekey (cleared under K180609). The Smileloc Sleeve is used to lock and unlock the Titanium Coping for final restoration to or from the abutment. This makes the prosthesis removable. The Rodo Abutment System eliminates the need for an access hole on the occlusal surface of a screw-retained restoration and also eliminates the possibility of prosthetic screw loosening. The Smilekey is an induction heating device for dental prosthesis removal of the Smileloc Sleeve in the Rodo Abutment System. The Smilekey was cleared as an accessory to the Abutment System in K180609, and there have been no changes to the Smilekey since this clearance.

The Rodo Abutment is provided in five series designs (100 F, 200 P, 300 S, 400 M, 500 D) with the 200 P and 500 D series having angled abutments (17°, 30°), for a total of nine designs. The 300 S series is designed for limited occlusal space and the 400 M series is designed for large interproximal spaces. Abutments are available in sizes ranging from 3.0 mm to 6.0 mm depending on the compatible implant system in use. Designs are available with engaging and non-engaging implant-abutment interfaces.

The provided text describes a 510(k) premarket notification for the Rodo Abutment System, focusing on adding compatibility with new implant lines. However, it does not contain the detailed information typically found in a study proving a device meets specific performance acceptance criteria for an AI/ML medical device.

The Rodo Abutment System is a hardware dental device, not an AI/ML software device. The "performance data" section discusses non-clinical testing such as dimensional analysis, reverse engineering, and fatigue testing according to ISO 14801. It does not refer to AI/ML model performance metrics, ground truth establishment, or human reader studies.

Therefore, I cannot extract the requested information regarding acceptance criteria, study details, sample sizes, expert qualifications, or multi-reader multi-case studies, as the provided document pertains to the clearance of a mechanical dental device and not an AI/ML-driven diagnostic tool.

Specifically, the document does NOT contain information on:

• A table of acceptance criteria and reported device performance for an AI/ML model (e.g., sensitivity, specificity, AUC).
• Any sample sizes used for a test set in the context of AI/ML performance.
• Data provenance for AI/ML data (country of origin, retrospective/prospective).
• Number of experts used to establish ground truth for an AI/ML model.
• Adjudication method for an AI/ML test set.
• Multi-reader multi-case (MRMC) comparative effectiveness studies.
• Standalone (algorithm-only) performance of an AI/ML model.
• Type of ground truth used (pathology, outcomes data, etc.) for an AI/ML model.
• Sample size for a training set in the context of AI/ML.
• How ground truth for a training set was established for an AI/ML model.

The document's "Performance Data" section solely refers to non-clinical bench testing for a mechanical device.

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