Exactech, Inc.

Howard David Routman

Christopher P Roche

Corey Mitchell Gaydos

Thomas W Wright

Raymond Anthony Klug

Joseph Zuckerman

Pierre-Henri Flurin

Vikas Kumar

Steven Overman

Ankur Teredesai

Ryan Simovitch

Mitchell Gaydos Cory

Disclosed is a prosthetic augment designed to reconstruct a lateral tuberosity shape of a humerus in a subject having proximal bone loss that includes a humeral adapter tray configured to connect a humeral liner of a reverse shoulder prosthesis to a humeral stem of the reverse shoulder prosthesis and an augment member having a first face adapted for contacting the humeral stem of the reverse shoulder prosthesis and a second face adapted for contacting an underside of a muscle, wherein at least a portion of the second face includes a bulbous surface adapted to alter a wrapping angle of the muscle around the lateral tuberosity, and wherein the second face has a radius of curvature selected from one of a constant radius of curvature or a variable radius of curvature.

Humeral trays with tuberosity augments sufficiently designed to improve joint mechanics

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

Growing community of inventors

North Palm Beach, FL, United States of America

Howard David Routman