Exactech, Inc.

Thomas W Wright

Christopher P Roche

Howard David Routman

Joseph Zuckerman

Richard Bradley Jones

C Michael Mauldin

Corey Mitchell Gaydos

Cary M Mauldin

Pierre Flurin

Pierre-Henri Flurin

Vikas Kumar

Steven Overman

Ankur Teredesai

Ryan Simovitch

Disclosed herein is a kit that includes a humeral stem having a central longitudinal axis, the humeral stem configured to attach to a resected bone; a first tuberosity component having a first thickness relative to the central longitudinal axis of the humeral stem; a second tuberosity component having a second thickness relative to the central longitudinal axis of the humeral stem, wherein the first thickness of the first tuberosity component is different than the second thickness of the second tuberosity component; and at least one proximal segment configured to engage at least one of the first tuberosity component and the second tuberosity component. In an embodiment, the first thickness of the first tuberosity component is at least 20 mm relative to the central axis of the humeral stem, and the second thickness of the second tuberosity component is at least 20 mm relative to the central axis of the humeral stem.

Prosthetic devices to improve joint mechanics in arthroplasty

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. The second predicted post-operative joint performance data output is updated to include an arthroplasty surgery recommendation, in response to the user varying the at least one arthroplasty surgical parameter, before the arthroplasty surgery, during the arthroplasty surgery, or both.

Method and system for modeling predictive outcomes of arthroplasty surgical procedures

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&#x2014;a typical occurrence in patients suffering from rotator cuff tear arthropathy (CTA).

Reverse shoulder prosthesis

One embodiment of the present invention relates to a reverse shoulder assembly. Another embodiment of the present invention relates to a reverse shoulder assembly method of use. In one example, a reverse shoulder assembly of the present invention may be provided such that the reverse shoulder assembly alters the abduction force created by a patient's deltoid to a forward flexion force. In one example, a reverse shoulder assembly of the present invention may be provided such that the reverse shoulder assembly alters the abduction force created by a patient's deltoid to an external rotation force. In one example, a reverse shoulder assembly of the present invention may be provided such that the reverse shoulder assembly alters the abduction force created by a patient's deltoid to an external rotation force and a forward flexion force.

Motion inducing reverse shoulder assembly

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Gainesville, FL, United States of America

Thomas W Wright