A sensing device for sensing one or more tissue properties includes an adapter assembly, an actuation assembly, a shuttle, and a piston assembly. The adapter assembly is configured to couple to surgical handheld devices. The actuation assembly extends distally from the adapter assembly and is configured to operably couple to and be engaged by handheld devices coupled thereto. The actuation assembly includes a first drive shaft and a second drive shaft. The shuttle has a clamp and a shuttle sensor, and is coupled to the first drive shaft via a coupling. The shuttle sensor is disposed on the clamp. The piston assembly is coupled to the second drive shaft and configured to compress target tissue between the piston assembly and the clamp of the shuttle.

A system for controlling a robotic end-effector is disclosed. The system includes a robotic arm, a surgical tool including an end-effector with articulatable arm and a clamp jaw. A tool driver is coupled to the surgical tool and a motor is coupled to the tool driver and is configured to drive the surgical tool. A sensor is configured to sense external forces applied to the end-effector. A central control circuit is configured to control the tool driver. The central control circuit is configured to receive a sensed parameter from the sensor, receive a sensed motor current (I) from the motor, and control the tool driver based on the sensed parameter and the motor current (I).

The invention comprises a system for securing an implant to a bone comprising an implant which is affixed to the bone, a grout or bone cement comprising a composition that cures in an exothermic reaction and which is capable of securing the implant to the bone in a cured state, and a tester which measures temperature over time to detect a rate change of temperature and uses a novel discrete differentiator circuit to determine when the composition reaches cure.

An apparatus comprises an electrically power surgical instrument having a handle assembly. The apparatus also comprises a communication device positioned within the handle assembly. The communication device is operable to communicate with at least a portion of the electrically powered surgical instrument. The apparatus further comprises an external device in wireless communication with the communication device. The external device is operable to receive information from the communication device and the external device is operable to provide an output viewable to the user.

Provided is a method of discriminating probes by using a change in resonant frequency, the method including receiving an identification frequency for discriminating the type of probe of an ultrasonic surgical device, analyzing a feedback signal generated on the basis of the received identification frequency information, discriminating any one probe among multiple types of probes on the basis of comparison between an analysis result and preset reference frequency information, and generating a control signal for controlling an operation of the ultrasonic surgical device on the basis of a predetermined value corresponding to the discriminated type of probe.

Various aspects of a generator, ultrasonic device, and method for estimating and controlling a state of an end effector of an ultrasonic device are disclosed. The ultrasonic device includes an electromechanical ultrasonic system defined by a predetermined resonant frequency, including an ultrasonic transducer coupled to an ultrasonic blade. A control circuit measures a complex impedance of an ultrasonic transducer, wherein the complex impedance as defined as

[00001]$Z_g\left(t\right)=\frac{V_g\left(t\right)}{I_g\left(t\right)};$

The control circuit receives a complex impedance measurement data point and compares the complex impedance measurement data point to a data point in a reference complex impedance characteristic pattern. The control circuit then classifies the complex impedance measurement data point based on a result of the comparison analysis and assigns a state or condition of the end effector based on the result of the comparison analysis. The control circuit estimates the state of the end effector of the ultrasonic device and controls the state of the end effector of the ultrasonic device based on the estimated state.

A computer system receives readings from sensors embedded in a spinal implant implanted in a patient during surgery. The sensor readings are indicative of a load applied by a spine of the patient on the spinal implant. The load causes physical discomfort to the patient. A feature vector is extracted from the implant sensor readings using a machine learning module. The feature vector is indicative of the physical discomfort caused by the load. Electrical signals are generated using the machine learning module based on the feature vector. The machine learning module is trained based on patient data sets to generate the electrical signals to balance the load, such that the physical discomfort is reduced. The electrical signals are transmitted to one or more actuators embedded in the spinal implant to cause the one or more actuators to configure the spinal implant, such that the load is balanced.

A surgical device includes an adapter assembly including a tubular housing having a proximal end portion configured to couple to a handle assembly, and a load sensing assembly disposed with the tubular housing. The load sensing assembly is configured to measure a load exerted on the tubular housing and includes: a sensor body including a pocket defined therein; a load sensor circuit disposed within the pocket and coupled to the sensor body; a signal processing circuit disposed within the pocket and electrically coupled to the load sensor circuit; a cover defining a cavity and disposed over the pocket and enclosing the load sensor circuit and the signal processing circuit therein, the cover being coupled to the sensor body thereby forming a first hermetic seal therebetween; and a thermal management material disposed within the cavity and in contact with the load sensor circuit and the signal processing circuit.

A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed.

Surgical systems can include evacuation systems for evacuating smoke, fluid, and/or particulates from a surgical site. A surgical evacuation system can be intelligent and may include one or more sensors for detecting one or more properties of the surgical system, evacuation system, surgical procedure, surgical site, and/or patient tissue, for example.