A prosthetic component suitable for long-term implantation is provided. The prosthetic component measures a parameter of the muscular-skeletal system is disclosed. The prosthetic component comprises a first structure having at least one support surface, a second structure having at least one feature configured to couple to bone, and at least one sensor. The prosthetic component is a housing for the at least one sensor and electronic circuitry. The electronic circuitry is hermetically sealed from an external environment. The at least one sensor couples to the support surface of the first structure. The support surface of the first structure is compliant. The first and second structure are coupled together housing the at least one sensor and electronic circuitry.

A knee examination method includes the steps of situating a patient on a patient support adjacent a robotic knee testing apparatus, setting up the robotic knee testing apparatus, further setting up the leg of the patient relative to the robotic knee testing apparatus, and, after the steps of setting up and further setting up, examining knee laxity of a knee of the patient. The step of examining includes operating the robotic knee testing apparatus to manipulate the tibia positioning assembly.

Systems and methods for determining optimized imaging parameters for imaging a patient include learning a model of a relationship between known imaging parameters and a quality measure, the known imaging parameters and the quality measure being determined from training data. Optimized imaging parameters are determined by optimizing the quality measure using the learned model. Images of the patient are acquired using the optimized imaging parameters.

A method includes obtaining load-deformation data for a joint, the load-deformation data being gathered via joint testing implemented by robotic test equipment, the robotic test equipment being configured for movement of the joint and comprising sensors to gather the load-deformation data during the movement. A load-deformation curve function for the load-deformation data is generated, the load-deformation curve function defining a curve fitted to the load-deformation data. A feature of the curve defined by the load-deformation curve function is quantified. A biomechanical characteristic of the joint is identified based on the quantified feature of the curve defined by the load-deformation curve function.

A method includes obtaining rotational data and translational data for a joint, the rotational and translational data being indicative of rotational and translational movement of the joint during rotational and translational joint testing, respectively, the rotational and translational joint testing being implemented by a robotic testing apparatus applied to the joint. A quantity indicative of joint play of the joint is computed. The quantity is computed via a function of the rotational data and the translational data. The method includes determining whether the computed quantity exceeds a joint play threshold and, if the computed quantity exceeds the joint play threshold, comparing the rotational data and the translational data with preset rotational data and preset translational data for the rotational and translation joint testing, respectively.

A knee examination method includes situating a patient on a patient support adjacent a robotic knee testing apparatus, the apparatus having a motion tracking system. The robotic knee testing apparatus is set up including defining a world coordinate system based on a fixed location of a transmitter of the motion tracking system. The patient is set up including determining one or more local coordinate systems each based on setting up the patient and on one or more robot based points. The robotic knee testing apparatus is operable to manipulate a leg of the patient.

A computer-implemented method for creating an activity-optimized cutting guides for surgical procedures includes receiving one or more pre-operative images depicting one or more anatomical joints of a patient, and creating a three-dimensional anatomical model of the one or more anatomical joints based on the one or more pre-operative images. One or more patient-specific anatomical measurements are determined based on the three-dimensional anatomical model. A statistical model of joint performance is applied to the patient-specific anatomical measurements to identify one or more cut angles for performing a surgical procedure. A patient-specific cutting guide is created that comprises one or more apertures positioned based on the one or more cut angles.

The present invention relates to a method for improving the diagnostic accuracy of an artificial intelligence (AI) to diagnose osteoarthritis (OA). The method involves all or some steps of: generating a plurality of feature values from at least one input skeletal image, generating a quantitative Kellgren-Lawrence (KL) grade based on the plurality of feature values, and generating an explanation plot showing the contributions of each feature. The present invention also relates to a method of constructing a non-transitory computer-readable medium to perform the above tasks.

An apparatus for evaluating motions of a joint is provided that is designed for determining stability of an anatomical joint. The apparatus includes a support frame, a fixation assembly for securing a first body segment of a joint, and a displacement assembly mounted to the support frame. The fixation assembly includes an axis of rotation moveable relative to the support frame. The displacement assembly includes a first frame pivotably mounted to the support frame and rotatably connected to a first end of the fixation assembly, and a second frame pivotably mounted to the support frame and rotatably connected to a second end of the fixation assembly. The apparatus can further include a pivot joint pivotably supporting the support frame whereby the support frame defines and is laterally pivotable within a support frame pivot plane.

An apparatus for evaluating motions of a joint is provided that is designed for determining stability of an anatomical joint. The apparatus includes a support frame, a fixation assembly for securing a first body segment of a joint, and a displacement assembly mounted to the support frame. The fixation assembly includes an axis of rotation movable relative to the support frame. The displacement assembly includes a first frame pivotably mounted to the support frame and rotatably connected to a first end of the fixation assembly, and a second frame pivotably mounted to the support frame and rotatably connected to a second end of the fixation assembly.