An osteotomy implant includes a first surface extending generally in a first plane and a second surface extending generally in a second plane, oblique to the first plane. The first surface has a perimeter having a first linear edge, a first curve edge connected to the first linear edge, a second linear edge connected to the first curved edge, and a second curved edge connected to the second liner edge.

Spinal device/implants are provided, comprising a spinal device/implant and a sensor.

A revision-implant receiver (18) is provided for supporting an implant (20) of a revision joint replacement (10). The revision-implant receiver (18) comprises a first receiver element (22) and a second receiver element (24). The first receiver element (22) and the second receiver element (24) are engaged with each other via a hinge element (26).

An attachment for a drill includes an inner housing configured to be coupled to the drill. The attachment also includes an outer housing positioned at least partially around the inner housing. The attachment also includes a vertical guide coupled to or integral with the inner housing. The attachment also includes a horizontal guide coupled to or integral with the outer housing. The attachment also includes a guide adapter configured to move along the vertical guide and the horizontal guide. The inner housing and the vertical guide are configured to move vertically with respect to the outer housing and the guide adapter, and the inner housing and the guide adapter are configured to move laterally with respect to the horizontal guide and the outer housing.

The present disclosure relates to a method of manufacture of a dental implant for a molar, including acquiring, structural data corresponding to bones of the facial skeleton, the bones of the facial skeleton being proximate the molar, selecting, as a dental implant fixation surface, a surface of the bones based upon a determined thickness of the bones, generating, based on the selected dental implant fixation surface, a contoured surface of the dental implant, and fabricating, based upon an instruction transmitted by processing circuitry, a bone plate extending from a buccal end of a cylindrical plate of the dental implant, the cylindrical plate having support lattices extending therefrom, at least one support lattice of the support lattices being arranged on a lingual end of the cylindrical plate, the cylindrical plate having an opening in a central region thereof, the opening being configured to receive a dental post.

Disclosed is an intervertebral cage for arthrodesis, where at least part of an upper and/or lower contact zone is made of a porous titanium material with a thickness of at least 1 mm and with a porosity of between 50% and 90%, where the diameter of the pores (DP) is between 200 μm and 1 mm, and where the pores have an aperiodic distribution.

A method includes forming a scaffold and seeding the scaffold with live cells; growing the cells in the scaffold; and 3D printing the cells into a living subject, where the cells continue to live in the living subject.

The present disclosure relates to a method for manufacturing nose implant, including obtaining a 3-dimensional image of a nasal bone and a 3-dimensional image of a nasal cavity; modeling a nasal cartilage by applying information of anatomy between the nasal bone, nasal cavity, and nasal cartilage, to the 3-dimensional image of the nasal bone and the 3-dimensional image of the nasal cavity; and modeling an inner shape of where the implant may be seated, from the 3-dimensional image of the nasal bone and the modelled nasal cartilage.

A porous implant for repairing lost bone stock such as around a prosthetic joint is provided. The porous implant has a composite structure with a solid structure and a porous structure which may be formed monolithically by direct metal laser sintering. The solid structure includes a support structure which extends into the porous structure.

The disclosure describes examples of machine-learned model based techniques. A computing system may obtain patient characteristics of a patient and implant characteristics of an implant. The computing system may determine information indicative of an operational duration of the implant based on the patient characteristics and the implant characteristics and output the information indicative of the operational duration of the implant. In some examples, one or more processors may be configured to receive, with a machine-learned model of the computing system, implant characteristics of an implant to be manufactured, apply model parameters of the machine-learned model to the implant characteristics, determine information indicative of dimensions of the implant to be manufactured based on the applying of the model parameters of the machine-learned model, and output the information indicative of the dimensions of the implant to be manufactured.