Provided is a method for forming an implant with an autonomous manufacturing device. The method includes accessing a first computer-readable reconstruction of a being's anatomy; accessing a second computer-readable reconstruction of an implant; accessing a third computer-readable reconstruction comprising the first computer-readable reconstruction superimposed with the second computer readable reconstruction; generating at least one computer-readable trace from a point cloud; and forming an implant with an autonomous manufacturing device, wherein the autonomous manufacturing device forms the implant into a shape defined by at least one dimension of the computer-readable trace.

A wrist endoprosthesis (2) for functional replacement of the human wrist, containing a radius component (4) that has a shaft (10) for anchoring in the radius, a head (12), and a first joint surface (16), which is implemented on a distal head face (14), and a carpal component (6) that has a proximal carpal face (22), a distal carpal face (20) and a second joint surface (24) which is formed on the proximal carpal face (22) and interacts with the first joint surface (169) of the radius component (4), characterized in that the carpal component (6) is substantially trough-shaped, in order to at least partially surround the carpal bones. Also, a wrist endoprosthesis (2) that has anti-luxation protection (8), a method for producing wrist endoprostheses (2) and a computer program product.

Systems, devices, and methods are provided for orthopedic implants. The implants may include a base member, such as an acetabular shell or an augment, that is configured to couple with an augment, flange cup, mounting member, or any other suitable orthopedic attachment.

A method for manufacturing a prosthetic component include injection molding a prosthetic component with a polymeric material. The prosthetic component includes a final surface positioned on one side and multiple coring features positioned on an opposite side. The coring features may include multiple ribs and slots. The method further includes machining the prosthetic component to remove the coring features and form a final surface on the opposite side. The prosthetic component may be a femoral component for a prosthetic knee joint.

A miniature bone mounted robot configured to perform minimally invasive orthopedic surgery coupled with regenerative three-dimensional bio-printing technology to restore cartilage and affected bone. The robot uses a sensor device attached to a holder affixed to the robot activated arm, to map the three-dimensional surface of the bone surface to be treated. The sensor may be a touch sensor, an optical imaging device, or another tool for mapping the bone surface. The robot shapes and prepares the bone surface and subsequently deposits a bio-ink implant in a three-dimensional pattern mimicking the original shape and depth of the articular cartilage. Because the entire procedure is conducted through the robotic platform rigidly mounted on the patients bone, there is no need for registration to preoperative three dimensional images, or for intraoperative tracking. Cell deposition based on mapping of the actual three dimensional anatomy, ensures an optimal outcome.

In accordance with one or more embodiments herein, a system 100 for customizing an implant is provided. The system 100 comprises a processor configured to: i) obtain one or more medical image stacks of a joint; ii) obtain a three-dimensional image representation of the joint based on at least one of said medical image stacks; iii) determine damage to the joint by analyzing said medical image stacks; iv) select an implant template from a predefined set of implant templates having predetermined types and sizes; v) generate a 3D model, in which the marked damage is visualized together with the selected implant template in a proposed position; vi) display the 3D model; vii) receive an approval for said selected implant template in said proposed position; and viii) determine the final shape and dimensions of a customized implant based on said selected implant template and said proposed position.

The present disclosure is directed to orthopedic implants and methods of rapid manufacturing orthopedic implants using in vivo data specific to an orthopedic implant or orthopedic trial. Specifically, the instant disclosure utilizes permanent orthopedic implants and orthopedic trials (collectively, “implants”) outfitted with kinematic sensors to provide feedback regarding the kinematics of the trial or implant to discern which implant is preferable, and thereafter rapid manufacturing the implant.

The biocompatible lattice structures disclosed herein with an increased or optimized lucency are prepared according to multiple methods of design disclosed herein. The methods allow for the design of a metallic material with sufficient strength for use in an implant and that remains radiolucent for x-ray imaging.

Acetabular implant and method for its manufacture, wherein the implant has a bone side with a contact surface to be fixed against the bone of the hip socket. A plastically deformable zone with an open porous structure connects to the contact surface, the zone being formed by a three-dimensional structure composed of strut elements with opposite ends, wherein these strut elements are connected at their ends in nodes. The zone is made of a material having an elongation at break of at least 15%.

The present invention is for a systematic process of creating patient-specific implants by matching target mechanical properties (e.g., elastic modulus of bone) based on the bone density information from a patient's CT scan images. The present invention creates lattice scaffolds using conformal unit-cells while minimizing the deviations between as-fabricated scaffolds and as-designed scaffolds. The present invention also creates a metamodel that matches the elastic modulus values of lattice scaffolds to desired values by using a homogenization approach to determine the characteristics of the lattice structure at the unit-cell level. The utilization of the metamodel enables designing the scaffolds without requiring any optimization procedure.