Abstract: Exemplary assemblies, apparatuses, systems, methods, and kits are provided herein related to modular tibial inserts.

Abstract: Systems and methods for generating patient-specific surgical guides comprising: capturing a first and second images of an orthopedic element in different reference frames using a radiographic imaging technique, detecting spatial data defining anatomical landmarks on or in the orthopedic element using a neural network, applying a mask to the orthopedic element defined by an anatomical landmark, projecting the spatial data from the first image and the second image to define volume data, applying the neural network to the volume data to generate a reconstructed three-dimensional (“3D”) model of the orthopedic element; and calculating dimensions for a patient-specific surgical guide configured to abut the orthopedic element.

Abstract: Systems and methods for ascertaining a position of an orthopedic element in space comprising: capturing a first and second images of an orthopedic element in different reference frames using a radiographic imaging technique, detecting spatial data defining anatomical landmarks on or in the orthopedic element using a deep learning network, applying a mask to the orthopedic element defined by an anatomical landmark, projecting the spatial data from the first image and the second image to define volume data, applying the deep learning network to the volume data to generate a reconstructed three-dimensional model of the orthopedic element; and mapping the three-dimensional model of the orthopedic element to the spatial data to determine the position of the three-dimensional model of the orthopedic element in three-dimensional space.

Abstract: Systems, apparatuses, and methods concerning identifying and classifying target orthopedic joints using one or more deep learning networks and alignment angles, wherein the deep learning networks are configured to identify one or more alignment angles of the identified target orthopedic joint to then classify the target orthopedic joint into one or more classes selected from a set of pre-defined classes. Exemplary systems, apparatuses, and methods may further comprise recommending a type of surgical procedure based on the classification of the identified target orthopedic joint.

Abstract: Systems and methods for ascertaining a position of an orthopedic element in space comprising: capturing a first and second images of an orthopedic element in different reference frames using a radiographic imaging technique, detecting spatial data defining anatomical landmarks on or in the orthopedic element using a deep learning network, applying a mask to the orthopedic element defined by an anatomical landmark, projecting the spatial data from the first image and the second image to define volume data, applying the deep learning network to the volume data to generate a reconstructed three-dimensional model of the orthopedic element; and mapping the three-dimensional model of the orthopedic element to the spatial data to determine the position of the three-dimensional model of the orthopedic element in three-dimensional space.

Abstract: Systems and methods for generating patient-specific surgical guides comprising: capturing a first and second images of an orthopedic element in different reference frames using a radiographic imaging technique, detecting spatial data defining anatomical landmarks on or in the orthopedic element using a neural network, applying a mask to the orthopedic element defined by an anatomical landmark, projecting the spatial data from the first image and the second image to define volume data, applying the neural network to the volume data to generate a reconstructed three-dimensional (“3D”) model of the orthopedic element; and calculating dimensions for a patient-specific surgical guide configured to abut the orthopedic element.

Abstract: Systems and methods for calculating external bone loss for alignment of pre-diseased joints comprising: generating a three-dimensional (“3D”) computer model of an operative area from at least two two-dimensional (“2D”) radiographic images, wherein at least a first radiographic image is captured at a first position, and wherein at least a second radiographic image is captured at a second position, and wherein the first position is different than the second position; identifying an area of bone loss on the 3D computer model; and applying a surface adjustment algorithm to calculate an external missing bone surface fitting the area of bone loss.

Abstract: Systems and methods for calculating external bone loss for alignment of pre-diseased joints comprising: generating a three-dimensional (“3D”) computer model of an operative area from at least two two-dimensional (“2D”) radiographic images, wherein at least a first radiographic image is captured at a first position, and wherein at least a second radiographic image is captured at a second position, and wherein the first position is different than the second position; identifying an area of bone loss on the 3D computer model; and applying a surface adjustment algorithm to calculate an external missing bone surface fitting the area of bone loss.

Abstract: Devices and assemblies for transferring kinematic alignment references from the distal aspect of a femur to the proximal aspect of an adjacent tibia, while permitting adjustment of the anterior-posterior slope. An exemplary pivoting tibial resection guide comprises: a body, a pivoting recess extending laterally into the body, the pivoting recess further comprising one or more anterior openings, the one or more anterior openings communicating with the pivoting recess, a locking mechanism recess, and multiple pin holes extending anteroposteriorly through the body and a pivoting assembly disposed within the pivoting recess, the pivoting assembly comprising one or more complimentary tibial engagement members disposed between the first end and the second end, wherein the one or more complimentary tibial engagement members communicates with the one or more anterior openings in the body, and wherein the pivoting assembly is closely dimensioned to rotate axially within the pivoting recess relative to the body.

Abstract: Devices and assemblies for transferring kinematic alignment references from the distal aspect of a femur to the proximal aspect of an adjacent tibia, while permitting adjustment of the anterior-posterior slope. An exemplary pivoting tibial resection guide comprises: a body, a pivoting recess extending laterally into the body, the pivoting recess further comprising one or more anterior openings, the one or more anterior openings communicating with the pivoting recess, a locking mechanism recess, and multiple pin holes extending anteroposteriorly through the body and a pivoting assembly disposed within the pivoting recess, the pivoting assembly comprising one or more complimentary tibial engagement members disposed between the first end and the second end, wherein the one or more complimentary tibial engagement members communicates with the one or more anterior openings in the body, and wherein the pivoting assembly is closely dimensioned to rotate axially within the pivoting recess relative to the body.

Abstract: Systems, methods, kits, and devices for transferring kinematic alignment references from the distal aspect of a femur to the proximal aspect of an adjacent tibia. An exemplary assembly includes a distally referencing linking drill guide assembly comprising: a linking drill guide comprising: a femoral portion, the femoral portion configured to engage a first femoral engagement member, a tibial portion, the tibial portion configured to engage a first tibial engagement member, and a body connecting the femoral portion to the tibial portion, and a femoral referencing instrument, the femoral referencing instrument having a first complimentary femoral engagement member, wherein the assembly has an engaged configuration when the first femoral engagement member engages the first complimentary femoral engagement member, and wherein the assembly has a disengaged configuration when the first femoral engagement member does not engage the first complementary femoral engagement member.

Abstract: Methods for determining an amount of distal femoral resection, methods for determining the amount of proximal tibial resection and methods for setting a position of a resection of a distal femur or a proximal tibia in a total knee arthroplasty using instruments to obtain intraoperative patient-specific measurements and positioning or resecting the target bone based on intraoperative patient-specific measurements.

Abstract: An instrument for setting a position of a resection of a distal femur or a proximal tibia in a total knee arthroplasty, the instrument comprising: a stable portion, the stable portion configured for orientation in a set position relative to said distal femur or said proximal tibia; a resection guide portion, the resection guide portion configured to guide a resection path for said resection; a resection guide body, the resection guide body associated with the resection guide portion in a fixed orientation; the resection guide body pivotally connected to the stable portion, whereby pivoting adjustment of the resection guide body on the stable portion sets a resection orientation of the resection guide portion; and the resection guide body having a lock for selectively locking the resection guide body to the stable portion at a plurality of selectable resection orientations.

Abstract: A device for preparing a femur of a patient for receipt of a knee implant in both extension and flexion relative to a resected tibia plateau based on applying tension to medial and lateral collateral ligaments of said patient, comprising a tibial baseplate, a tensioner, the tensioner comprising a tensioner body having a tensioner portion, the tensioner portion affixed to the tibial baseplate, and an expander arm comprising an elongated body portion, a superior side of the elongated body portion having a spiked tip adjacent a posterior end thereof. The spiked tip interacts with an intracondylar notch under tension. The expander arm is operatively connected to the tensioner body via the tensioner portion, the tensioner portion configured for use in selectively raising and lowering the expander arm relative to the tibial baseplate to apply tension to the medial and lateral collateral ligaments in extension or flexion.

Abstract: Instruments and components for improving the accuracy of resection of the proximal tibia in a kinematic alignment total knee arthroplasty (“TKA”). Instruments include an adjustable double tibial stylus instrument comprising: a first wide convex stylus tip and a second wide convex stylus tip at a second distal end of the second stylus. The wide convex stylus tips may be fixed components of the adjustable double stylus instrument, or the wide convex stylus tips may be detachable.

Abstract: Assemblies, systems, kits, and methods related to the positioning of the distal femoral resection guide anteromedially on an exposed condyle of the distal femur. Assemblies, systems, kits, and methods related to the positioning of the proximal tibial resection guide anteromedially on an exposed proximal tibia.

Abstract: The present disclosure relates to a tibial component for an endoprosthetic knee implant comprising a tibial baseplate and a keel extending from a lower surface of the tibial baseplate. The tibial baseplate is disposed at a keel posterior angle relative to the keel, and the tibial baseplate is also disposed at a keel varus angle relative to the keel. The disclosure further describes modular keel embodiments, exemplary instruments that can be used to implant exemplary tibial components into and onto the proximal tibia, methods related thereto, and kits therefore.

Abstract: Systems and methods for ascertaining a position of an orthopedic element in space comprising: capturing a first and second images of an orthopedic element in different reference frames using a radiographic imaging technique, detecting spatial data defining anatomical landmarks on or in the orthopedic element using a deep learning network, applying a mask to the orthopedic element defined by an anatomical landmark, projecting the spatial data from the first image and the second image to define volume data, applying the deep learning network to the volume data to generate a reconstructed three-dimensional model of the orthopedic element; and mapping the three-dimensional model of the orthopedic element to the spatial data to determine the position of the three-dimensional model of the orthopedic element in three-dimensional space.

Abstract: Systems and methods for generating patient-specific surgical guides comprising: capturing a first and second images of an orthopedic element in different reference frames using a radiographic imaging technique, detecting spatial data defining anatomical landmarks on or in the orthopedic element using a neural network, applying a mask to the orthopedic element defined by an anatomical landmark, projecting the spatial data from the first image and the second image to define volume data, applying the neural network to the volume data to generate a reconstructed three-dimensional (“3D”) model of the orthopedic element; and calculating dimensions for a patient-specific surgical guide configured to abut the orthopedic element.

Abstract: Systems and methods for calculating external bone loss for alignment of pre-diseased joints comprising: generating a three-dimensional (“3D”) computer model of an operative area from at least two two-dimensional (“2D”) radiographic images, wherein at least a first radiographic image is captured at a first position, and wherein at least a second radiographic image is captured at a second position, and wherein the first position is different than the second position; identifying an area of bone loss on the 3D computer model; and applying a surface adjustment algorithm to calculate an external missing bone surface fitting the area of bone loss.