Abstract: A surgical helmet assembly can be securable to a mixed reality device and can include an inner frame, an outer frame, and a surgical hood. The inner frame can be securable to the mixed reality device. The outer frame can be releasably securable to the inner frame, where at least a portion of a lens of the mixed reality device exposed through the inner frame and the outer frame. The surgical hood can be connected to the outer frame and can be configured to cover at least a portion of a head of a user.

Abstract: Systems and methods as described include a system for monitoring health of a user. The system can include a plurality of sensors worn by or implanted in a user. The plurality of sensors can include at least one sensor implanted in the user. The system can include a communication unit electronically coupled with the plurality of sensors and receiving data therefrom. The system can include a controller electronically coupled with the communication unit, the controller configured to perform predictive analytics on data from the plurality of sensors, wherein the controller is configured to output a personalized intervention recommendation to at least one of the user or a health care provider for use by the user to preemptively address one or more health conditions prior to or in lieu of a surgical intervention for the user.

Abstract: A surgical sensor system for collecting internal patient data comprises a sensor module comprising a housing and a sensor disposed within the housing, and an attachment device comprising a socket for receiving the housing and an exterior anchor feature for attaching the attachment device to biological matter. A method of implanting a sensor module for use with an orthopedic implant device comprises making an insertion portal in anatomy of a patient, positioning a sensor module in the anatomy in a first position relative to the insertion portal, and positioning an orthopedic implant in the anatomy in a second position relative to the insertion portal such that the orthopedic implant is separate from the sensor module.

Abstract: Systems and techniques may be used for providing artificial intelligence regarding orthopedic patients. A technique may include using sensor data generated over a period of time by a patient an input to a machine learning model. The machine learning model may be trained based on labeled sensor data and labeled outcome data. The machine learning model may generate a predicted outcome for the patient. The technique may include output at least one medical intervention recommendation based on the predicted outcome.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: A system and method provide a postoperative protocol based on a surgical procedure. A system may include using a processor to determine, for example upon completion of an orthopedic procedure on anatomy of a patient, a final state of the anatomy. The system may determine, using, for example, a machine learning trained model, a postoperative protocol for the patient based on the final state. The postoperative protocol may be displayed. The machine learning trained model may be trained using postoperative protocols, final states, and postoperative feedback for patients according to an example.

Abstract: Systems and methods may be used for presenting motion feedback for an orthopedic patient. In an example, images may be captured of a patient in motion attempting to perform a task, for example after completion of an orthopedic surgery on the patient. The images may be analyzed to generate a movement metric of the patient corresponding to the task. The movement metric may be compared to a baseline metric (e.g., an average metric or a previous patient metric) for the task. An indication of the comparison may be presented, for example including a qualitative result of the comparison.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: Systems and methods may use a mobile device communicatively coupled to a wearable device to present an exercise to a user. The systems and methods may modify a therapy calendar, for example, based on information determined from the exercise (e.g., repetitions completed, a duration completed, video, etc.), feedback from the user, or the like. A method may include receiving a control command from a wearable device communicatively coupled to a mobile device, the control command causing an action to be taken by the mobile device related to the exercise. The therapy calendar may be automatically modified, such as in response to determining a number of repetitions or a duration of an exercise. The modified therapy calendar may be presented on a user interface, such as on a display of the wearable device or the mobile device.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: Systems and methods for displaying augmented reality clinical movements may use an augmented reality device to display aspects of a clinical movement. The systems and methods may use a motion capture device to capture the clinical movement. A method may include analyzing information about the clinical movement to determine a path of motion representative of at least a portion of the clinical movement. The method may automatically define a path region or a virtual target in an augmented reality environment overlaid on a real environment. The method may display the path region or the virtual target on an augmented reality display.

Abstract: Embodiments of a system and method for evaluating or predicting therapy adherence are generally described herein. A system may include a display and a processor connected to the display to provide a user interface, including a calendar with a plurality of activities of a protocol. The plurality of activities may include exercises, education, questionnaires, etc., which may be presented on particular days or at particular times. Patient adherence to the protocol may be determined, and the display may provide information related to the patient adherence to a clinician. The display may provide a prediction about future patient adherence. The processor may, based on a determination about future patient adherence or past patient adherence, automatically modify the protocol. After the protocol is modified, the calendar may be updated and the display may show the updated calendar.

Abstract: An instructional gaming apparatus and method implements adaptive instructional gaming from a start point along a trajectory to a final goal. The system comprises a receiver for electronically receiving data from a user. The system further includes an electronic subject matter database with a clearly defined set of discrete heuristics combined with an electronic processor for the creation of an electronic instructional gaming curriculum unique to the individual user and their goals to enable proficiency in the given subject matter. Performance is periodically tested. And electronic means allows the information from the user performance database to be incorporated into the discrete heuristic utilized by the electronic processor for the creation of future electronic instructional gaming curriculums and/or individual instructional gaming lessons for the specific user in the given subject.

Abstract: An instructional gaming apparatus and method implements adaptive instructional gaming from a start point along a trajectory to a final goal. The system comprises a receiver for electronically receiving data from a user. The system further includes an electronic subject matter database with a clearly defined set of discrete heuristics combined with an electronic processor for the creation of an electronic instructional gaming curriculum unique to the individual user and their goals to enable proficiency in the given subject matter. Performance is periodically tested. And electronic means allows the information from the user performance database to be incorporated into the discrete heuristic utilized by the electronic processor for the creation of future electronic instructional gaming curriculums and/or individual instructional gaming lessons for the specific user in the given subject.