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Joint replacement is indicated for patients suffering from disability due to:

• noninflammatory degenerative joint disease including osteoarthritis and avascular . necrosis of the natural humeral head and/or glenoid;
• . rheumatoid arthritis;
• correction of functional deformity; .
• . humeral fracture.

This device may also be indicated in the salvage of previously failed surgical attempts. The glenoid components are indicated for cemented use only.

Intended Use: Encore Medical shoulder devices are intended for treatment of patients who are candidates for shoulder arthroplasty per the indications for use. While shoulder replacements are not intended to withstand activity levels and loads of normal healthy bone, they are a means of restoring mobility and reducing pain for many patients.

The Encore Shoulder System consists of a humeral stem, neck and head and a glenoid component. Components are offered for use for either primary or revision surgery applications.

The humeral stem consists of proximal body that is rectangular in cross-sectional geometry and tapers proximal to distal. The distal stem is cylindrical with four flutes. Anterior and posterior fins are located on the proximal body to help provide rotational stability. The anterior and posterior fins have suture holes to allow reattachment of soft tissue and bone fragments in the case of proximal humeral fracture. A suture hole is also placed medially through the proximal body just below the collar. A collar is present on the anterior, posterior and medial faces of the proximal body to resist stem subsidence. A neck stem angle is incorporated. The stem has a female Morse type taper to receive modular humeral necks. Also present is a female locating scallop utilized to orient the modular humeral neck and provide additional rotational stability of the neck and head.

The humeral neck has two male Morse type tapers that differ in size to prevent incorrect installation. The smaller Morse type taper interfaces with the female Morse type taper in the humeral stem, the larger Morse type taper interfaces with the female Morse type taper in the humeral head. A scalloped collar between the two male tapers interfaces with the female locating scallop in the humeral stem to provide orientation when using the angled neck and to provide additional rotational stability of the neck and head

The humeral heads are available in standard and offset configurations. In the offset configuration, the male Morse type taper on the humeral heads is offset from the center that makes it possible to orient the head in asymmetric positions on the symmetric stem, thus allowing the surgeon to intraoperatively select the position of the humeral head to recreate the anatomy of the individual patient.

The glenoid components are fabricated from ultra-high molecular weight polyethylene. The articulating surface has a radius of curvature greater than the corresponding humeral head. This allows translation in the superior/inferior and anterior/posterior directions. The back surface of the component is spherical in geometry and has either a keel or four pegs for fixation in the glenoid. The central peg has three annular barbs to provide immediate fixation to the patient's glenoid when inserted.

The provided document is a 510(k) summary for the Encore Shoulder System, which is a medical device (prosthesis) for shoulder joint replacement. This document describes the device, its intended use, and its substantial equivalence to predicate devices. However, it does not contain information about the acceptance criteria or a study that proves the device meets specific performance criteria in terms of AI/algorithm performance.

The key takeaway from this document regarding performance is under "Non-Clinical Testing": "Mechanical testing has demonstrated the device's ability to perform under expected clinical conditions." and under "Clinical Testing": "None provided."

Therefore, I cannot provide the requested information about acceptance criteria and a study proving device performance in the context of an AI/algorithmic medical device because this document is for a mechanical prosthetic device and no such study is presented.

Here's a breakdown of what can be answered based on the provided text, and what cannot:

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

• Cannot be provided. The document does not define specific performance acceptance criteria for the device in the context of an AI/algorithmic system, nor does it report performance metrics against such criteria. The "performance" described is in terms of mechanical testing of the physical prosthesis.

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

• Cannot be provided. No clinical testing or AI model testing is mentioned.

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)

• Cannot be provided. No clinical testing or AI model testing is mentioned that would involve ground truth establishment by experts.

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

• Cannot be provided. No clinical testing or AI model testing is mentioned.

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

• Cannot be provided. This is a mechanical device, not an AI-assisted diagnostic or interpretative system. No MRMC study was conducted or is relevant.

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

• Cannot be provided. This is a mechanical device, not an algorithm.

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

• Cannot be provided. No ground truth for an AI/algorithm is relevant or mentioned.

8. The sample size for the training set

• Cannot be provided. No AI model training is mentioned.

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

• Cannot be provided. No AI model training is mentioned.

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