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

A method and system for performing hip arthroplasty include analyzing images of a patient's hip joint in a plurality of positions to identify preoperative hip geometry. A statistical patient model predicts prosthetic hip implant performance based on the preoperative knee geometry and given prosthetic knee implant implantation parameters for a plurality of selected patient activities, each having a predefined motion profile to calculate an optimized surgical plan for performing the procedure using a computer assisted surgical system, which may use fiducial markers affixed to patient tissue. Hip geometry can be determined by angles between landmarks in the images, including sacral tilt, pelvic incidence, pelvic femoral angle, and ante-inclination angle in x-ray images. Implant performance criteria can include, for example, edge loading and range of motion of implant components.

An augmented reality system and method for assisting surgical staff during an arthroplasty procedure includes a camera system configured to capture images of a surgical scene and a processor configured to determine from the images location and orientation information about one or more patient anatomical features and to maintain a three-dimensional model of these anatomical features within the surgical scene. The system models the field-of-view of augmented reality headsets worn by surgical staff, and maps this to the anatomical model, allowing the system to overlay relevant information to the user about particular anatomical features in the surgical plan.

Methods and systems for performing a knee arthroplasty procedure include analyzing images of a patient's patellofemoral and femoral-tibial joint in a plurality of flexion positions to identify preoperative knee geometry. A statistical patient model predicts prosthetic knee implant performance based on the preoperative knee geometry and given prosthetic knee implant implantation parameters to calculate an optimized surgical plan for performing the procedure using a computer assisted surgical system, which may use fiducial markers affixed to patient tissue. The model can include selectable patient activities to adjust the motion profile for plan optimization.

A method for creating a patient-specific surgical plan includes receiving one or more pre-operative images of a patient having one or more infirmities affecting one or more anatomical joints. three-dimensional anatomical model of the one or more anatomical joints is created based on the one or more pre-operative images. One or more transfer functions and the three-dimensional anatomical model are used to identify a patient-specific implantation geometry that corrects the one or more infirmities. The transfer functions model performance of the one or more anatomical joints as a function of anatomical geometry and anatomical implantation features. surgical plan comprising the patient-specific implantation geometry may then be displayed.

Patient-specific craniofacial implants structured for filling bone voids or planned bone voids in the cranium and face as well as for simultaneously providing soft tissue reconstruction and/or augmentation for improved aesthetic symmetry and appearance of face and skull. Pterional or temporal voids or defects generally result from a chronic skull or lateral facial deformity along with a compromised temporalis muscle or soft tissue distortion from previous surgery. When muscle and fat atrophy occurs in the pterion or temporal face, temporal hollowing deformity generally results where there would be soft tissue but for the atrophy. The patient-specific craniofacial implants with dual-purpose herein are configured to have an augmented region adjacent the temporal region of the face and cranium in order to prevent and/or correct any such temporal hollowing deformity and to utilize this newfound space to strategically embed implantable neurotechnologies for improved outcomes.

Devices, systems, techniques and methods for determining the fit of an implant and for determining one or more prognosticators, indicators or risk factors of postoperative performance are provided.

The present disclosure relates to methods of; non-transitory, computer-readable media for; and systems for fabricating or modifying an implant. One example embodiment includes a method. The method includes registering a plurality of intraoperative locations of a surgically resected anatomical region of a patient. The method also includes generating, based on the registered plurality of intraoperative locations, a two-dimensional representation of the registered plurality of intraoperative locations. Further, the method includes determining, based on the two-dimensional representation, a two-dimensional shape of an anatomical feature excised from the surgically resected anatomical region. In addition, the method includes determining, based on the two-dimensional shape of the anatomical feature and a three-dimensional model of a portion of the patient that contains the surgically resected anatomical region, a three-dimensional shape of the anatomical feature. Still further, the method includes fabricating or modifying an implant based on the three-dimensional shape of the anatomical feature.

Methods and devices are disclosed relating improved articular models, implant components, and related guide tools and procedures. In addition, methods and devices are disclosed relating articular models, implant components, and/or related guide tools and procedures that include one or more features derived from patient-data, for example, images of the patient's joint. The data can be used to create a model for analyzing a patient's joint and to devise and evaluate a course of corrective action. The data also can be used to create patient-adapted implant components and related tools and procedures.

Methods, apparatuses, and systems for customized kit assembly for surgical implants are disclosed. A robotic surgical system designs and customizes a surgical implant and its surgical implant components. The surgical implant and its surgical implant components are assembled into a kit that is customized for a specific patient. The robotic surgical procedure using the kit can additionally select from available generic, off-the-shelf surgical implant components or customized surgical implant components.