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 methods may be used for evaluating a patient after completion of an orthopedic surgery on a portion of a body part of the patient. In an example, the method includes capturing, using a camera of the device, a series of images of the patient in motion, determining respective lengths of the body part in each of the series of images based on comparing the body part in each of the series of images to a skeletal model, and identifying a maximum length of the body part from the respective lengths. The method may include displaying an indication corresponding to the maximum length.

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.