Abstract: A system for guiding a glenoid prosthesis is disclosed. The system includes a glenoid guide that includes: a guide feature; at least three arms having a first end coupled with the guide feature and a second end disposed away from the guide feature; at least three peripheral pegs, each peripheral peg extending from the second end of a corresponding arm and includes an engagement surface configured to engage the scapula of the patient; and a strut extending laterally from the guide feature.

Abstract: A computer-implemented method comprises: obtaining, by a computing system, anatomic data for a patient and comorbidity data for the patient; generating, by the computing system, based on the anatomic data for the patient and the comorbidity data for the patient, a recommendation regarding whether the patient should undergo a surgery as an inpatient procedure or an outpatient procedure; and outputting, by the computing system, the recommendation.

Abstract: A method comprises obtaining, by a computing system, one or more surgeon preference parameters that specify values of one or more surgical parameters, wherein the surgical parameters include one or more positioning parameters for a glenoid implant to be attached to a glenoid fossa of a patient during a surgery; determining, by the computing system, based on one or more anatomic parameters of the patient and the surgeon preference parameters, one or more suggested surgical options, each of the surgical options corresponding to a. different combination of the positioning parameters for the glenoid implant and types of glenoid implant; and outputting, by the computing system, for display, the one or more suggested surgical options.

Abstract: An example method includes obtaining one or more intraoperative images, wherein: a surgical site includes bones that are not substantially exposed through skin of the patient during the surgery, a connected K-wire is attached to one of the bones, an external portion of the connected K-wire is connected to a fixation device that is attached to the patient; performing a registration process system with corresponding positions in a virtual coordinate system; generating a visualization that includes the models of the bones superimposed on the surgical site; based on the changes to the positions of the external portion of the connected K-wire, updating positions of the models of the bones in the visualization to maintain correspondence between positions of the bones and the positions of the models of the bones.

Abstract: Methods, systems and devices for pre-operatively planned shoulder surgery guides and implants. Pre-operative planning methods for designing a shoulder surgery guide based on considerations of multiple factors affecting the outcome of shoulder surgery. Methods of using surgery guides and implants in patients undergoing shoulder surgery.

Abstract: Techniques are described for identifying bone areas for removal during a medical procedure. Processing circuitry may generate a virtual model of an anatomical object with the bone areas removed and one or more indications for the bone areas that are to be removed. During surgery, the processing circuitry may receive image data and update the one or more indications as the bone areas are removed. The processing circuitry may generate the virtual model and the bone areas for visual overlay on the actual anatomical object.

Abstract: Techniques are described for determining a pre-morbid shape of an anatomical object. A method includes receiving first image data of a first anatomical structure and second image data of a second anatomical structure. The first and second anatomical structures are anatomically related. The method includes determining a first shape model based on the first image data and a joint statistical shape model (SSM). The method includes determining a second shape model based on the first shape model, the first image data, and the second image data, the second shape model including a second estimated shape of the first anatomical structure and a second estimated shape for the second anatomical structure. The method includes generating anatomical information indicative of the pre-morbid shape of at least the second anatomical structure based on the second shape model.

Abstract: An example method includes registering, via a visualization device, a virtual model of a portion of an anatomy of an ankle of a patient to a corresponding portion of the anatomy of the ankle viewable via the visualization device, the virtual model obtained from a virtual surgical plan for an ankle arthroplasty procedure to attach a prosthetic to the anatomy. The example method also comprises displaying, via the visualization device and overlaid on the portion of the anatomy, a virtual guide that guides at least one of preparation of the anatomy for attachment of the prosthetic or attachment of the prosthetic to the anatomy.

Abstract: An example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.

Abstract: A surgical assistance system may obtain a pre-revision model of a bone of a patient. The pre-revision model of the bone represents a pre-revision state of the bone after a prior orthopedic surgery on the bone. In this example, an orthopedic prosthesis was attached to the bone during the prior orthopedic surgery. Additionally, the surgical assistance system may obtain intra-revision imaging data of the bone. The intra-revision imaging data represents an intra-revision state of the bone during the orthopedic revision surgery after removal of the orthopedic prosthesis from the bone. The surgical assistance system may determine, based on the intra revision imaging data, damaged and intact parts of the bone. The surgical assistance system may then generate a second intra-revision model of the bone by modifying the pre-revision model of the bone to exclude damaged parts of the bone.

Abstract: Methods, systems and devices for pre-operatively planned shoulder surgery guides and implants. Pre-operative planning methods for designing a shoulder surgery guide based on considerations of multiple factors affecting the outcome of shoulder surgery. Methods of using surgery guides and implants in patients undergoing shoulder surgery.

Abstract: A surgical assistance system obtains patient-specific values of a plurality of physical characteristics of a humeral bone of a patient. The surgical assistance system predicts, based on the patient-specific values, a humeral prosthesis (202) for the patient from among a plurality of humeral prostheses, wherein the predicted humeral prosthesis has a filling ratio less than a remodeling threshold for the patient. The filling ratio of the humeral prosthesis is a ratio of (i) a radial distance from a lengthwise central axis of a stem (206) of the humeral prosthesis to an outer surface of the stem, to (ii) a radial distance from the lengthwise central axis of the stem to an inner surface of the intramedullary canal (208) of a humerus of the patient. The remodeling threshold for the patient is a filling ratio above which the humeral prosthesis would cause remodeling in the patient.

Abstract: A system and method for streamlining inventory and ordering for certain surgical supplies. The method includes scanning, by an imaging device, a surgical site and receiving, by a processor communicatively coupled to the imaging device, data from the scan. The method also includes the processor analyzing the data, where the analyzing includes searching the data to identify predefined key features in the data that are parameters utilized by a Statistical Shape Model (SSM). The processor applies the SSM to generate a three dimensional replica of a predetermined portion of the surgical site. The processor also defines, based on the replica, at last one of: surgical planes or orientations. The processor then utilizes the replica and the surgical planes or orientations to select a solution.

Abstract: An example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.

Abstract: A surgical system can be configured to obtain image data of a joint that comprises at least a portion of a humerus; segment the image data to determine a shape for a diaphysis of the humerus; based on the determined shape of the diaphysis, determine an estimated pre-morbid shape of the humerus; based on the estimated shape of the humerus, identify one or more bone fragments in the image data; and based on the identified bone fragments in the image data, generate an output.

Abstract: A system is configured to obtain image data of a joint of a patient; determine that the joint includes an existing implant; and one or both of generate an identification of a type for the existing implant and generate a pre-implant, morbid approximation of the joint.

Abstract: A computing system generates, based on medical imaging data of bones of a joint of a patient, bony landmark data that characterizes relationships between two or more landmarks on one or more of the bones of the joint of the patient. Additionally, the computing system applies a classifier algorithm that has been trained using training data to select a class associated with the patient from among a plurality of classes. The classifier algorithm takes the bony landmark data of the patient as input.

Abstract: A computing system applies a first machine learning model to determine a suggested pathology. An input vector of the first machine learning model includes a set of input data, the set of input data including anatomic parameters of the patient. Additionally, the computing system applies a second machine learning model to determine a suggested surgery. An input vector of the second machine learning model includes an element that indicates the suggested pathology. The computing system also applies a third machine learning model to determine the suggested implant component to implant into the patient during the orthopedic surgery. An input vector of the third machine learning model includes an element that indicates the suggested pathology and an element that indicates the suggested surgery. The computing system may also output an indication of the suggested implant component.

Abstract: An example method includes registering, via a visualization device, a virtual model of a portion of an anatomy of an ankle of a patient to a corresponding portion of the anatomy of the ankle viewable via the visualization device, the virtual model obtained from a virtual surgical plan for an ankle arthroplasty procedure to attach a prosthetic to the anatomy. The example method also comprises displaying, via the visualization device and overlaid on the portion of the anatomy, a virtual guide that guides at least one of preparation of the anatomy for attachment of the prosthetic or attachment of the prosthetic to the anatomy.

Abstract: An example method includes displaying, via a visualization device and overlaid on a portion of an anatomy of a patient viewable via the visualization device, a virtual model of the portion of the anatomy obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; and displaying, via the visualization device and overlaid on the portion of the anatomy, a virtual guide that guides at least one of preparation of the anatomy for attachment of the prosthetic or attachment of the prosthetic to the anatomy.