Abstract: Methods, non-transitory computer readable media, and surgical computing devices are illustrated that improve surgical planning using machine learning. With this technology, a machine learning model is trained based on historical case log data sets associated with patients that have undergone a surgical procedure. The machine learning model is applied to current patient data for a current patient to generate a predictor equation. The current patient data comprises anatomy data for an anatomy of the current patient. The predictor equation is optimized to generate a size, position, and orientation of an implant, and resections required to achieve the position and orientation of the implant with respect to the anatomy of the current patient, as part of a surgical plan for the current patient. The machine learning model is updated based on the current patient data and current outcome.

Abstract: A system (100) and device (300) for mounting and tracking a tracker array during a surgical procedure are described. For example, the system includes a surgical navigation system (700) including a position tracking system (702) configured to track one or more tracker arrays, and a device (300) for mounting a tracker array (306) onto a patient during the surgical procedure. The device includes an intramedullary (IM) canal component (304) configured to be inserted into an IM canal (310) within a bone (312). The device further includes a tracker pin (308) configured to penetrate at least a portion of the bone and engage an inserted end (411, 413) of the IM canal component, and a tracker array (306) affixed to the tracker pin. The IM canal component is configured to engage the IM canal of the bone to stabilize the tracker array during the surgical procedure.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing implants for surgical procedures. In some implementations, a model that has been trained using data indicating characteristics of other patients and items used in surgeries for the other patients is obtained. Using the model and patient characteristics for a patient, such as the height and weight of the patient, the items needed for a surgery for a particular patient can be identified. For example, the likelihoods that different sizes of an implant component will be needed can be identified and used to determine which sizes of components should be provided at a medical facility and in the operating room for the patient's surgery.

Abstract: Methods, non-transitory computer readable media, and surgical computing devices are illustrated that improve surgical planning using machine learning. With this technology, a machine learning model is trained based on historical case log data sets associated with patients that have undergone a surgical procedure. The machine learning model is applied to current patient data for a current patient to generate a predictor equation. The current patient data comprises anatomy data for an anatomy of the current patient. The predictor equation is optimized to generate a size, position, and orientation of an implant, and resections required to achieve the position and orientation of the implant with respect to the anatomy of the current patient, as part of a surgical plan for the current patient.

Abstract: A patient-matched cutting block including a surface or point contact features adapted to at least partially conform to or reference a patient specific anatomy. The cutting block having guide slots configured for guiding the movement of cutting tools relative to the patient specific anatomy or features configured to mate to and guide standard cutting guides relative to patient specific anatomy in order to form plateau and eminence resections of the patient specific anatomy.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing implants for surgical procedures. In some implementations, a model that has been trained using data indicating characteristics of other patients and items used in surgeries for the other patients is obtained. Using the model and patient characteristics for a patient, such as the height and weight of the patient, the items needed for a surgery for a particular patient can be identified. For example, the likelihoods that different sizes of an implant component will be needed can be identified and used to determine which sizes of components should be provided at a medical facility and in the operating room for the patient's surgery.

Abstract: A system (100) and device (300) for mounting and tracking a tracker array during a surgical procedure are described. For example, the system includes a surgical navigation system (700) including a position tracking system (702) configured to track one or more tracker arrays, and a device (300) for mounting a tracker array (306) onto a patient during the surgical procedure. The device includes an intramedullary (IM) canal component (304) configured to be inserted into an IM canal (310) within a bone (312). The device further includes a tracker pin (308) configured to penetrate at least a portion of the bone and engage an inserted end (411, 413) of the IM canal component, and a tracker array (306) affixed to the tracker pin. The IM canal component is configured to engage the IM canal of the bone to stabilize the tracker array during the surgical procedure.

Abstract: A system (100) and device (300) for mounting and tracking a tracker array during a surgical procedure are described. For example, the system includes a surgical navigation system (700) including a position tracking system (702) configured to track one or more tracker arrays, and a device (300) for mounting a tracker array (306) onto a patient during the surgical procedure. The device includes an intramedullary (IM) canal component (304) configured to be inserted into an IM canal (310) within a bone (312). The device further includes a tracker pin (308) configured to penetrate at least a portion of the bone and engage an inserted end (411, 413) of the IM canal component, and a tracker array (306) affixed to the tracker pin. The IM canal component is configured to engage the IM canal of the bone to stabilize the tracker array during the surgical procedure.

Abstract: A tibial insert includes a base and a post extending from the base along a longitudinal axis. The post has a medial surface, a lateral surface, and a height along the longitudinal axis. The medial surface has a medial section, and the lateral surface has a lateral section oriented substantially parallel to the medial section. The medial section and the lateral section each have a width in a substantially anterior-posterior direction that is sufficient to enable varus/valgus constraint over a flexion/extension range from extension to about 90 to 120 degrees of flexion when the tibial insert is mated with a femoral component.

Abstract: Methods and apparatus for performing knee arthroplasty, including, but not limited to, bicruciate retaining knee arthroplasty, ore described herein. Methods and apparatus for preparing a distal femur for a femoral implant as well as methods and apparatus for preparing a proximal tibia for a tibial implant are described. These methods and apparatus, in at least some embodiments and uses, facilitate decreasing the complexity of knee arthroplasty procedures such as bicruciate retaining procedures, while maintaining, if not improving on, the safety, accuracy and/or effectiveness of such procedures.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing implants for surgical procedures. In some implementations, a model that has been trained using data indicating characteristics of other patients and items used in surgeries for the other patients is obtained. Using the model and patient characteristics for a patient, such as the height and weight of the patient, the items needed for a surgery for a particular patient can be identified. For example, the likelihoods that different sizes of an implant component will be needed can be identified and used to determine which sizes of components should be provided at a medical facility and in the operating room for the patient's surgery.

Abstract: A tibial insert includes a base and a post extending from the base along a longitudinal axis. The post has a medial surface, a lateral surface, a height along the longitudinal axis, and a rotational offset in a superior-inferior aspect of the post. The medial surface has a medial section, and the lateral surface has a lateral section oriented substantially parallel to the medial section. The medial section and the lateral section each have a width in a substantially anterior-posterior direction that is sufficient to enable varus/valgus constraint over a flexion/extension range from extension to about 90 to 120 degrees of flexion when the tibial insert is mated with a femoral component.

Abstract: A system (100) and device (300) for mounting and tracking a tracker array during a surgical procedure are described. For example, the system includes a surgical navigation system (700) including a position tracking system (702) configured to track one or more tracker arrays, and a device (300) for mounting a tracker array (306) onto a patient during the surgical procedure. The device includes an intramedullary (IM) canal component (304) configured to be inserted into an IM canal (310) within a bone (312). The device further includes a tracker pin (308) configured to penetrate at least a portion of the bone and engage an inserted end (411, 413) of the IM canal component, and a tracker array (306) affixed to the tracker pin. The IM canal component is configured to engage the IM canal of the bone to stabilize the tracker array during the surgical procedure.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing implants for surgical procedures. In some implementations, a model that has been trained using data indicating characteristics of other patients and items used in surgeries for the other patients is obtained. Using the model and patient characteristics for a patient, such as the height and weight of the patient, the items needed for a surgery for a particular patient can be identified. For example, the likelihoods that different sizes of an implant component will be needed can be identified and used to determine which sizes of components should be provided at a medical facility and in the operating room for the patient's surgery.

Abstract: A patient-matched cutting block including a surface or point contact features adapted to at least partially conform to or reference a patient specific anatomy. The cutting block having guide slots configured for guiding the movement of cutting tools relative to the patient specific anatomy or features configured to mate to and guide standard cutting guides relative to patient specific anatomy in order to form plateau and eminence resections of the patient specific anatomy.

Abstract: A patient-matched cutting block including a surface or point contact features adapted to at least partially conform to or reference a patient specific anatomy. The cutting block having guide slots configured for guiding the movement of cutting tools relative to the patient specific anatomy or features configured to mate to and guide standard cutting guides relative to patient specific anatomy in order to form plateau and eminence resections of the patient specific anatomy.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing implants for surgical procedures. In some implementations, a model that has been trained using data indicating characteristics of other patients and items used in surgeries for the other patients is obtained. Using the model and patient characteristics for a patient, such as the height and weight of the patient, the items needed for a surgery for a particular patient can be identified. For example, the likelihoods that different sizes of an implant component will be needed can be identified and used to determine which sizes of components should be provided at a medical facility and in the operating room for the patient's surgery.

Abstract: Methods and apparatus for performing knee arthroplasty, including, but not limited to, bicruciate retaining knee arthroplasty, ore described herein. Methods and apparatus for preparing a distal femur for a femoral implant as well as methods and apparatus for preparing a proximal tibia for a tibial implant are described. These methods and apparatus, in at least some embodiments and uses, facilitate decreasing the complexity of knee arthroplasty procedures such as bicruciate retaining procedures, while maintaining, if not improving on, the safety, accuracy and/or effectiveness of such procedures.

Abstract: Methods and apparatus for performing knee arthroplasty, including, but not limited to, bicruciate retaining knee arthroplasty, are described herein. Methods and apparatus for preparing a distal femur for a femoral implant as well as methods and apparatus for preparing a proximal tibia for a tibial implant are described. These methods and apparatus, in at least some embodiments and uses, facilitate decreasing the complexity of knee arthroplasty procedures such as bicruciate retaining procedures, while maintaining, if not improving on, the safety, accuracy and/or effectiveness of such procedures.

Abstract: A tibial insert includes a base and a post extending from the base along a longitudinal axis. The post has a medial surface, a lateral surface, and a height along the longitudinal axis. The medial surface has a medial section, and the lateral surface has a lateral section oriented substantially parallel to the medial section. The medial section and the lateral section each have a width in a substantially anterior-posterior direction that is sufficient to enable varus/valgus constraint over a flexion/extension range from extension to about 90 to 120 degrees of flexion when the tibial insert is mated with a femoral component.