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 medical instrument system includes actuators, a medical instrument, and a control system operably connected to the actuators. The medical instrument includes an end portion and transmission systems, each of which couples the end portion to an actuator of the actuators such that the actuators are operable to drive the transmission systems to move the end portion. The control system is configured to execute operations including determining a difference between a current configuration of the end portion and a desired configuration of the end portion, and operating the actuators to apply tensions to the transmission systems based on the difference and based on constant offset tensions. The constant offset tensions are independent of current tensions experienced by the transmission systems.

A robotic arm comprising an operation end, a base, a sensor unit and a control unit is provided. The operation end is connected to the base, and the operation end is configured to reach an operational area. The sensor unit provides a sensor signal according to the force applied by or the motion of an operator. When the operation end reaches the operational area, the control unit sets a fixed position on the robotic arm between the base and the operation end. When the sensor signal from the operator fulfills a default condition, the control unit moves the robotic arm away from the operator, without moving the fixed position on the robotic arm.

A system for controlling a medical image capture device during surgery is provided, the system including circuitry configured to acquire first image data from the medical image capture device, the first image data being of an appearance of a surgical scene at a first instance of time; determine, based on a predicted appearance of the surgical scene based on the first image data at a second instance of time after the first instance of time, one or more desired image capture properties of the medical image capture device; and control the medical image capture device at a third instance of time, the third instance of time being between the first instance of time and the second instance of time, in accordance with the one or more desired image capture properties of the medical image capture device.

A system for correcting a lateral curvature of a spine that can include a plurality of screws configured to be implanted in a plurality of vertebrae, and a plurality of extensions configured to be removably coupled with the plurality of screws. Some embodiments of the plurality of extensions can be curved, bent, angled, and/or offset along at least a portion thereof and can be removably coupled with a screw head of each of the plurality of screws. The system can include a connecting element or rod that is configured to be coupled with the plurality of screw heads. Some embodiments of the system can be configured such that the rod can be guided along the plurality of extensions from the proximal toward the distal end portions of the extensions and into engagement with the plurality of screws to cause the plurality of vertebrae to move laterally.

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.

A load sensing assembly for a spinal implant includes a set screw having a central opening that extends from a first end of the set screw toward a second end of the set screw. The second end of the set screw is configured to engage with an anchoring member. The load sensing assembly includes an antenna, an integrated circuit in communication with the antenna, where the integrated circuit is positioned within the central opening of the set screw, and a strain gauge in connection with the integrated circuit. The strain gauge is located within the central opening of the set screw in proximity to the second end of the set screw.

A surgical robotic system has a tool drive coupled to a distal end of a robotic arm that has a plurality of actuators. The tool drive has a docking interface to receive a trocar. The system also includes one or more sensors that are operable to visually sense a surface feature of the trocar. One or more processors determine a position and orientation of the trocar, based on the visually sensed surface feature. In response, the processor controls the actuators to orient the docking interface to the determined orientation of the trocar and to guide the robotic arm toward the determined position of the trocar. Other aspects are also described and claimed.

Systems and methods for grasp adjustment based on grasp properties include a computer-assisted device. The device includes a two-jawed end effector located at a distal end of the device, a drive unit for operating the two-jawed end effector, and an image processing unit. The image processing unit is configured to receive imaging data of the end effector and recognize the end effector and a material grasped by the end effector in the received imaging data. The device is configured to adjust a force magnitude limit or a torque magnitude limit of the drive unit based on the received imaging data. In some embodiments, the image processing unit is further configured to determine one or more of a position, an orientation, a size, or a shape of the material based on the received imaging data. In some embodiments, at least one jaw of the end effector includes fiducial indicia.