Abstract: An apparatus includes a processor and a non-transitory memory. The processor is configured to receive pre-operative patient specific data. The pre-operative patient specific data is inputted to a first machine learning model to determine a first predicted post-operative joint performance data output including first predicted post-operative outcome metrics. A reconstruction plan of the joint of the patient is generated based on a medical image of the joint, and at least one arthroplasty surgical parameter obtained from the user. The at least one arthroplasty surgical parameter is inputted into a second machine learning model to determine a second predicted post-operative joint performance data output including second predicted post-operative outcome metrics.

Abstract: An apparatus includes a processor and a non-transitory memory. The processor is configured to receive pre-operative patient specific data. The pre-operative patient specific data is inputted to a first machine learning model to determine a first predicted post-operative joint performance data output including first predicted post-operative outcome metrics. A reconstruction plan of the joint of the patient is generated based on a medical image of the joint, and at least one arthroplasty surgical parameter obtained from the user. The at least one arthroplasty surgical parameter is inputted into a second machine learning model to determine a second predicted post-operative joint performance data output including second predicted post-operative outcome metrics.

Abstract: An apparatus includes a processor and a non-transitory memory. The processor is configured to receive pre-operative patient specific data. The pre-operative patient specific data is inputted to a first machine learning model to determine a first predicted post-operative joint performance data output including first predicted post-operative outcome metrics. A reconstruction plan of the joint of the patient is generated based on a medical image of the joint, and at least one arthroplasty surgical parameter obtained from the user. The at least one arthroplasty surgical parameter is inputted into a second machine learning model to determine a second predicted post-operative joint performance data output including second predicted post-operative outcome metrics.

Abstract: Various embodiments of the present invention relate to an apparatus and method for reverse shoulder arthroplasty (e.g., reverse total shoulder arthroplasty). In one specific example, a glenoid component used to resurface the scapula may be provided. Of note, unlike traditional total shoulder arthroplasty the glenoid component in a reverse shoulder is convex rather than concave; it acts as a physical stop to prevent the superior migration of the humeral head—a typical occurrence in patients suffering from rotator cuff tear arthropathy (CTA).

Abstract: Various embodiments of the present invention relate to an apparatus and method for reverse shoulder arthroplasty (e.g., reverse total shoulder arthroplasty). In one specific example, a glenoid component used to resurface the scapula may be provided. Of note, unlike traditional total shoulder arthroplasty the glenoid component in a reverse shoulder is convex rather than concave; it acts as a physical stop to prevent the superior migration of the humeral head—a typical occurrence in patients suffering from rotator cuff tear arthropathy (CTA).

Abstract: Various embodiments of the present invention relate to an apparatus and method for reverse shoulder arthroplasty (e.g., reverse total shoulder arthroplasty). In one specific example, a glenoid component used to resurface the scapula may be provided. Of note, unlike traditional total shoulder arthroplasty the glenoid component in a reverse shoulder is convex rather than concave; it acts as a physical stop to prevent the superior migration of the humeral head—a typical occurrence in patients suffering from rotator cuff tear arthropathy (CTA).

Abstract: Various embodiments of the present invention relate to an apparatus and method for reverse shoulder arthroplasty (e.g., reverse total shoulder arthroplasty). In one specific example, a glenoid component used to resurface the scapula may be provided. Of note, unlike traditional total shoulder arthroplasty the glenoid component in a reverse shoulder is convex rather than concave; it acts as a physical stop to prevent the superior migration of the humeral head—a typical occurrence in patients suffering from rotator cuff tear arthropathy (CTA).

Abstract: The present invention relates to an apparatus and method to obtain bone fixation. More particularly, one embodiment of the present invention relates to a mechanism for achieving bone “through-growth” in a variety of orthopaedic applications. In one example (which example is intended to be illustrative and not restrictive), a prosthesis designed to achieve bone “through-growth” via one or more “windows” in a peg or keel structure may be provided (bone graft may be inserted into the peg or keel structure). In one specific example (which example is intended to be illustrative and not restrictive), a glenoid prosthesis (and associated method) may be used to resurface the scapula. In another specific example, the present invention may be used in the context of a partial or total shoulder arthroplasty.