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The Affixus® Tibial Nailing System is indicated for temporary stabilization of tibial fractures and osteotomies including proximal, metaphyseal, and distal shaft fractures, closed fractures, open fractures, pathologic fractures, non-unions, malunions and deformity corrections.

The Affixus Tibial Nalling System is a long bone nailing system that offer implants designed to treat a range of tibial fractures from simple to complex, with versatile locking options. They restore the shape of preinjured bone and are available in a variety of lengths and diameters to meet assorted anatomical needs. Screws and End Caps are included in the system. All implants are made of Ti-6Al-4V. The Affixus platform of instrumentation is designed to provide options and flexibility for many intraoperative approaches while maintaining ease of use and commonality. This submission introduces 4mm Cortical Bone Screws are also made of Ti-6AL-4V and feature a double-lead thread design with a self-tapping tip. Screw options include Ø4mm: 20mm - 60mm, increments of 2 mm 60mm - 90mm, increments of 5mm Note: 4mm Screws are inserted through distal locking holes of 8mm Tibia nails only.

It appears that the provided document is an FDA 510(k) clearance letter for a medical device (Affixus Tibial Nailing System - 4mm screws). This type of document is for device clearance based on substantial equivalence to a predicate device, not for the clearance of an Artificial Intelligence/Machine Learning (AI/ML) device.

Therefore, the document does not contain any information regarding:

• Acceptance criteria for an AI/ML model
• Study design for testing an AI/ML model's performance
• Sample sizes for test or training sets for an AI/ML model
• Expert involvement in ground truth establishment or adjudication for an AI/ML model
• Multi-reader multi-case (MRMC) comparative effectiveness studies
• Standalone algorithm performance
• Ground truth types specific to AI/ML
• Training set details for an AI/ML model

The clearance is based on the device's material, design, packaging, and sterilization being substantially equivalent to existing predicate devices, and supported by non-clinical tests demonstrating mechanical properties (e.g., fatigue strength, bending strength, torque, pullout strength) and MR compatibility.

Conclusion:

Based on the provided text, it is not possible to describe the acceptance criteria and the study that proves an AI/ML device meets those criteria, as this document pertains to a traditional medical device (intramedullary fixation rod) and not an AI/ML product.

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