An intra-calvarial implant (ICI) includes a housing including a sealed compartment having a top part, a bottom part and a side wall, and a current directing mechanism extending from the bottom part of the sealed compartment. The ICI also includes one or more electrodes for sensing electrical signals from the brain and/or for electrically stimulating one or more regions of the brain. The ICI includes at least one auxiliary electrode (that may be a reference and/or source/sink electrode) and an electronic circuitry module (ECM), sealingly disposed within the sealed compartment and operatively connected to the one or more electrodes and to the at least one reference electrode. The ECM controls the operation of the ICI and wirelessly communicates with an external telemetry device. The ICI includes a power harvesting device electrically connected to the ECM of the ICI for providing power thereto.

Systems, methods, and devices for drilling and imaging an anatomical element are provided. An image may be received from an imaging device coupled to a housing. The image may depict hard tissue and/or soft tissue and the image may be processed using image processing to identify the hard tissue and/or soft tissue. A thickness of the hard tissue may be determined and instructions to perform a surgical step on the hard tissue when the thickness is less than a predetermined threshold may be transmitted.

A system for monitoring the ossification of an internally fixated fracture in a bone of a subject includes an implantable fixation device and an external wireless reader operative to transmit relative load data experienced by a bone plate across a fracture to a data server where trends in the change in added bone-support provided by the bone plate may be visualized. The implantable fixation device includes a primary load sensor and a reference load sensor, where a load value from the reference load sensor may be used to normalize the load value from the primary load sensor. The external wireless reader is in wireless communication with the implantable fixation device and is operative to receive a signal indicative of the load from each load sensor and to energize each load sensor via inductive charging.

A system is disclosed herein for providing a kinetic assessment and preparation of a prosthetic joint comprising one or more prosthetic components. The system comprises a prosthetic component including sensors and circuitry configured to measure load, position of load, and joint alignment. The system further includes a remote system for receiving, processing, and displaying quantitative measurements from the sensors. The kinetic assessment measures joint alignment under loading that will be similar to that of a final joint installation. The kinetic assessment can use trial or permanent prosthetic components. Furthermore, adjustments can be made to the applied load magnitude, position of load, and joint alignment by various means to fine-tune an installation. The kinetic assessment increases both performance and reliability of the installed joint by reducing error that is introduced by elements that load or modify the joint dynamics not taken into account by prior assessment methods.

Embodiments of the present disclosure provide an implantable device for monitoring properties of cerebrospinal fluid of a patient. In one embodiment, the device may include a housing, a processor, a support member, one or more sensors, and a data storage. The sensors may be in communication with the processor and configured to detect one or more properties of cerebrospinal fluid. The device may be configured for transmitting the data and receiving instructions by an operator for the delivery of a therapeutic agent or imaging agent from a reservoir disposed within the housing in operable communication with a pump.

Disclosed herein is a joint implant including a first implant coupled to a first bone of a joint, and a second implant coupled to a second bone of the joint and contacting the first implant. The second implant can include a plurality of sensors configured to measure data and a processor operatively coupled to the plurality of sensors and adapted to receive the data from the sensors. The first implant can be a femoral implant coupled to a femur. The second implant can be a patellar implant coupled to a patella. Sensor data from the patellar implant can indicate movement between the femoral implant and the patellar implant and identify patella condition such as a patellar rotation, patellar tilt and patellar tendonitis.

Load sensing spinal implants having at least one sensor and an antenna are disclosed. An example implant may include an interbody cage extending in a longitudinal direction from a proximal end to a distal end and in a widthwise direction from a first lateral end to a second lateral end; and an electronics portion including a housing defining a sealed cavity for supporting an electronics assembly and a battery therein. The implant may include at least one antenna in electrical communication with the electronics assembly; and at least one strain gauge configured to detect a localized force experienced by the interbody cage. The at least one antenna may be configured to transmit information received from the at least one strain gauge to an external device. The electronics assembly may be disposed on the side of the cage, a distal end of the cage, or inside a window of the cage.

Disclosed herein joint implants with sensors and methods for activating sensors in joint implants. A joint implant according to the present disclosure can include a first implant on a first bone and a second implant on a second bone of a joint. The first implant can include a magnet. The second implant can include one or more sensors, a processor, a battery, and a switch. The switch can couple the battery to the processor to power the processor and the one or more sensors when the switch detects a magnetic field strength.

A big data artificial intelligence computer system is used for medical care connecting to sensor-equipped smartphones of users of footwear. The footwear has smartphone-connected soles with sensors and configurable structures. The smartphone is also connected to sensors located on the users' body, including proximate to its center of gravity and/or on the head. The web and/or cloud-based computer system is configured to use the big data techniques of machine learning in a database compiled from millions of smartphones to perform operations on billions of data sets from the smartphones of the footwear users. The correlations found from the big data operations provide solutions to medical problems of the footwear users involving their body structure and/or function. The solutions are implemented by configuring the users' footwear soles, including active configuration, including during running and/or walking to optimize corrections to the structure and/or function of their bodies.

Disclosed herein are joint implants with sensors and methods for assembling joint implants with sensors. A knee implant according to the present disclosure can include a femoral implant configured to be coupled to a femur and a tibial implant configured to be coupled to a tibia. The tibial implant can include a tibial insert disposed between the femoral implant and a tibial baseplate of the tibial implant. The tibial insert can include at least one sensor and a battery disposed within a void of the tibial insert, and a detachable case configured to seal an opening of the void. The detachable case can be configured to seal the opening of the void by engaging one or more projections with one or more corresponding recesses of the tibial insert.