Abstract: This disclosure relates to systems and methods for managing patients of knee surgeries. A pre-operative patient questionnaire user interface is associated with a future knee operation of the patient. Patient input data is indicative of answers of a patient in relation to the pre-operative patient questionnaire. A processor of a computer system evaluates a statistical model to determine a predicted satisfaction value indicative of satisfaction of the patient with the future knee operation. The statistical model comprises nodes stored on data memory representing the patient input data and the predicted satisfaction value, and edges stored on data memory between the nodes representing conditional dependencies between the patient input data and the predicted satisfaction value. The processor then generates an electronic document comprising a surgeon report associated with the future knee operation to indicate to the surgeon the predicted satisfaction value.

Abstract: This disclosure relates to systems and methods for managing patients of knee surgeries. A pre-operative patient questionnaire user interface is associated with a future knee operation of the patient. Patient input data is indicative of answers of a patient in relation to the pre-operative patient questionnaire. A processor of a computer system evaluates a statistical model to determine a predicted satisfaction value indicative of satisfaction of the patient with the future knee operation. The statistical model comprises nodes stored on data memory representing the patient input data and the predicted satisfaction value, and edges stored on data memory between the nodes representing conditional dependencies between the patient input data and the predicted satisfaction value. The processor then generates an electronic document comprising a surgeon report associated with the future knee operation to indicate to the surgeon the predicted satisfaction value.

Abstract: A positioning guide system for guiding a surgical tool comprising a positioning guide and a user interface. The positioning guide comprising: an interface to correspond to a plurality of anatomic landmarks of a patient; a plurality of sensors to provide an output indicative of the proximity of the interface and one or more of the plurality of anatomic landmarks; and a tool guide, for a surgical tool, positioned relative to the interface. The user interface provides a user output indicative of correct positioning of the positioning guide and the anatomic landmarks of the patient based on the output of the plurality of sensors.

Abstract: This disclosure relates to a computer assistant for a surgeon with a graphical representation of a dynamic knee score for a knee surgery. A processor receives computer tomography data of a current patient's knee and user input from the surgeon, the user input comprises an identifier of a knee implant. The processor then retrieves multiple machine learning model parameters indicative of a machine learning performed on historical patient records. For multiple values of a rotation of the tibial component and a slope of the tibial component the processor configures a post-operative kinematic model performs a kinematic simulation and estimates a current patient outcome by applying the machine learning model. Finally, the processor generates a shaded surface spanning the multiple values of a rotation of the tibial component and a slope of the tibial component on a user interface to graphically represent the estimated current patient outcome for each of the rotation and slope.

Abstract: This disclosure relates to a computer assistant for a surgeon with a graphical representation of a dynamic knee score for a knee surgery. A processor receives computer tomography data of a current patient's knee and user input from the surgeon, the user input comprises an identifier of a knee implant. The processor then retrieves multiple machine learning model parameters indicative of a machine learning performed on historical patient records. For multiple values of a rotation of the tibial component and a slope of the tibial component the processor configures a post-operative kinematic model performs a kinematic simulation and estimates a current patient outcome by applying the machine learning model. Finally, the processor generates a shaded surface spanning the multiple values of a rotation of the tibial component and a slope of the tibial component on a user interface to graphically represent the estimated current patient outcome for each of the rotation and slope.

Abstract: A surgical guide system for guiding a surgical tool, comprising a body which comprises a first contact surface profiled to locate with a first anatomical surface of a first bone; and a second contact surface profiled to locate with a second anatomical surface of a second bone; wherein the body is configured, for a specified functional position of the first bone relative to the second bone, to simultaneously: locate the first contact surface with the first anatomical surface; locate the second contact surface with the second anatomical surface; and receive, or guide, a first fastener to fasten to the first bone, wherein at least one of the body and/or the first fastener forms a first reference to guide a first surgical tool to the first bone.

Abstract: This disclosure relates to methods and systems to assist in surgery of a joint. The system determines a mechanical property of one or more ligaments associated with the joint based on measurement data indicative of a movement of the bones relative to each other under multiple mechanical loads. The system then determines a predicted characteristic of the joint after the surgery based on a spatial parameter of the surgery and based on the mechanical property of the one or more ligaments and generates an output signal indicative of the predicted characteristic to assist the surgery. Since the predicted characteristic of the joint is determined based on the mechanical property of the ligaments, the prediction is more accurate than other methods that rely on only bone geometries to predict a surgery outcome.

Abstract: This disclosure relates to systems and methods for managing patients of knee surgeries. A pre-operative patient questionnaire user interface is associated with a future knee operation of the patient. Patient input data is indicative of answers of a patient in relation to the pre-operative patient questionnaire. A processor of a computer system evaluates a statistical model to determine a predicted satisfaction value indicative of satisfaction of the patient with the future knee operation. The statistical model comprises nodes stored on data memory representing the patient input data and the predicted satisfaction value, and edges stored on data memory between the nodes representing conditional dependencies between the patient input data and the predicted satisfaction value. The processor then generates an electronic document comprising a surgeon report associated with the future knee operation to indicate to the surgeon the predicted satisfaction value.

Abstract: This disclosure relates to systems and methods for managing patients of knee surgeries. A pre-operative patient questionnaire user interface is associated with a future knee operation of the patient. Patient input data is indicative of answers of a patient in relation to the pre-operative patient questionnaire. A processor of a computer system evaluates a statistical model to determine a predicted satisfaction value indicative of satisfaction of the patient with the future knee operation. The statistical model comprises nodes stored on data memory representing the patient input data and the predicted satisfaction value, and edges stored on data memory between the nodes representing conditional dependencies between the patient input data and the predicted satisfaction value. The processor then generates an electronic document comprising a surgeon report associated with the future knee operation to indicate to the surgeon the predicted satisfaction value.

Abstract: A surgical guide system for guiding a surgical tool, comprising a body which comprises a first contact surface profiled to locate with a first anatomical surface of a first bone; and a second contact surface profiled to locate with a second anatomical surface of a second bone; wherein the body is configured, for a specified functional position of the first bone relative to the second bone, to simultaneously: locate the first contact surface with the first anatomical surface; locate the second contact surface with the second anatomical surface; and receive, or guide, a first fastener to fasten to the first bone, wherein at least one of the body and/or the first fastener forms a first reference to guide a first surgical tool to the first bone.

Abstract: The present disclosure relates to a method and system for configuring a surgical tool during surgery. A laser scanner generates sensor data and a processor determines spatial data indicative of a position of the anatomical feature and of a position of a tool interface that is fixed in relation to the anatomical feature based on the sensor data. The processor also determines a first desired spatial configuration of the surgical tool in relation to the tool interface based on the spatial data and a second desired spatial configuration of the surgical tool in relation to the anatomical feature. The outcome is more accurate and less complex than other methods, such as methods that are based on reference to the absolute positions of the anatomical feature and the surgical tool within an operation theatre.

Abstract: This disclosure relates to a computer assistant for a surgeon with a graphical representation of a dynamic knee score for a knee surgery. A processor receives computer tomography data of a current patient's knee and user input from the surgeon, the user input comprises an identifier of a knee implant. The processor then retrieves multiple machine learning model parameters indicative of a machine learning performed on historical patient records. For multiple values of a rotation of the tibial component and a slope of the tibial component the processor configures a post-operative kinematic model performs a kinematic simulation and estimates a current patient outcome by applying the machine learning model. Finally, the processor generates a shaded surface spanning the multiple values of a rotation of the tibial component and a slope of the tibial component on a user interface to graphically represent the estimated current patient outcome for each of the rotation and slope.

Abstract: This disclosure relates to systems and methods for managing patients of knee surgeries. A pre-operative patient questionnaire user interface is associated with a future knee operation of the patient. Patient input data is indicative of answers of a patient in relation to the pre-operative patient questionnaire. A processor of a computer system evaluates a statistical model to determine a predicted satisfaction value indicative of satisfaction of the patient with the future knee operation. The statistical model comprises nodes stored on data memory representing the patient input data and the predicted satisfaction value, and edges stored on data memory between the nodes representing conditional dependencies between the patient input data and the predicted satisfaction value. The processor then generates an electronic document comprising a surgeon report associated with the future knee operation to indicate to the surgeon the predicted satisfaction value.

Abstract: This disclosure relates to methods and systems to assist in surgery of a joint. The system determines a mechanical property of one or more ligaments associated with the joint based on measurement data indicative of a movement of the bones relative to each other under multiple mechanical loads. The system then determines a predicted characteristic of the joint after the surgery based on a spatial parameter of the surgery and based on the mechanical property of the one or more ligaments and generates an output signal indicative of the predicted characteristic to assist the surgery. Since the predicted characteristic of the joint is determined based on the mechanical property of the ligaments, the prediction is more accurate than other methods that rely on only bone geometries to predict a surgery outcome.

Abstract: The present disclosure relates to a method and system for configuring a surgical tool during surgery. A laser scanner generates sensor data and a processor determines spatial data indicative of a position of the anatomical feature and of a position of a tool interface that is fixed in relation to the anatomical feature based on the sensor data. The processor also determines a first desired spatial configuration of the surgical tool in relation to the tool interface based on the spatial data and a second desired spatial configuration of the surgical tool in relation to the anatomical feature. The outcome is more accurate and less complex than other methods, such as methods that are based on reference to the absolute positions of the anatomical feature and the surgical tool within an operation theatre.

Abstract: A positioning guide system for guiding a surgical tool comprising a positioning guide and a user interface. The positioning guide comprising: an interface to correspond to a plurality of anatomic landmarks of a patient; a plurality of sensors to provide an output indicative of the proximity of the interface and one or more of the plurality of anatomic landmarks; and a tool guide, for a surgical tool, positioned relative to the interface. The user interface provides a user output indicative of correct positioning of the positioning guide and the anatomic landmarks of the patient based on the output of the plurality of sensors.

Abstract: There is provided a method (100) for aligning and positioning an implant (305). The method (100) comprises creating a reference using a guide (500) configured in accordance with patient specific data; fixing the reference using a reference marker (920) and delivering the implant (305) with an impactor (1005) aligned in accordance with the reference. Guide light emission means (515a) may be employed to create the reference, reference marker light emission means (515b) may be employed to fix the reference and impactor light emission means (515c) may be employed to align an impactor (1005).

Abstract: The present disclosure relates to a method incorporating computer-implemented steps, a computing device, and a computer readable storage medium, for developing manufacturing parameters for manufacturing an orthopaedic implant. The method comprises the computer-implemented steps of being responsive to patient specific information data for deriving patient data, where the patient specific information data is indicative of one or more dynamic characteristics, being responsive to the patient data for calculating design data for the orthopaedic implant, and developing the manufacturing parameters for manufacturing the orthopaedic implant according to the design data.

Abstract: The present disclosure relates to a method incorporating computer-implemented steps, a computing device, a computer readable storage medium, and a client computing device for modelling the alignment of an orthopedic implant for a joint of a patient. The method comprises the computer-implemented steps of being responsive to patient specific information data for deriving patient data, where the patient specific information data is indicative of one or more dynamic characteristics, and being responsive to the patient data for providing 3D model data of the joint, such that the 3D model data shows the orthopedic implant in an alignment configuration based on the patient specific information data.

Abstract: The present disclosure relates to a method for providing surgical parameter data. The method comprises the computer-implemented steps of being responsive to patient specific information data for deriving patient data, where the patient specific information data is indicative of one or more dynamic characteristics, and determining a set of possible surgical parameter data according to the patient data and patient acquired data, the patient acquired data being indicative of one or more desired post-surgery activities, the patient acquired data comprising post-surgery activities preference data; and a further step of selecting the surgical parameter data from the set of possible surgical parameter data according to the post-surgery activities preference data.