A system can include a module to measure mobility, such as pre-operative pelvic mobility, for surgical planning. The module can include one or more inertial sensors that can be positioned relative to the anatomy of a patient. Hip navigation systems can guide an acetabular cup to patient-specific target angles, based in part, on the pre-operative pelvic mobility of the patient.

Apparatus and methods are described including a robotic unit configured to move the tool through six degrees-of-freedom, and a control component that comprises at least one control-component arm configured to be moved by a user, The control-component arm includes three rotary encoders, each of the three rotary encoders coupled to a respective joint and configured to detect movement of the respective joint and to generate rotary-encoder data indicative of an XYZ location of a tip of the control-component tool, in response thereto, and an inertial measurement unit comprising at least one of a three-axis accelerometer, a three-axis gyroscope, and a three-axis magnetometer, the inertial measurement unit being configured to generate inertial-measurement-unit data indicative of an orientation of the tip of control-component tool. Other applications are also described.

A computing system may identify a surgical instrument for a surgical procedure in an operating room (OR). The computing system may detect a control input by a health care professional (HCP) to control the surgical instrument. The computing system may determine the HCP's access control level associated with the surgical instrument. The computing system may determine whether the HCP has an authorization to control the surgical instrument. If the computing system determines that HCP is unauthorized to control the surgical instrument based on the access control level associated with the HCP, the computing system may block the control input by the HCP. If the computing system determines that the HCP is authorized to control the surgical instrument based on the access control level associated with the HCP, the computing system may effectuate the control input by the HCP to control the surgical instrument.

Methods and systems for performing a surgery within an internal cavity of a subject are provided herein. An example method for controlling a robotic assembly of a surgical robotic system includes, while at least a portion of the robotic assembly is disposed in an interior cavity of a subject, receiving a first control mode selection input from an operator and changing a current control mode of the surgical robotic system to a first control mode in response to the first control mode selection input; while the surgical robotic system is in the first control mode, receiving a first control input from hand controllers; in response to receiving the first control input, changing a position and/or an orientation of: at least a portion of the camera assembly, of at least a portion of the robotic arm assembly, or both, while maintaining a stationary position of instrument tips of the end effectors disposed at distal ends of the robotic arms.

A surgical instrument system for treatment of an anatomical structure comprises an instrument and/or a patient specific instrument. The instrument and/or the patient specific instrument comprises an integrated measurement system for tracking the instrument and/or the patient specific instrument relative to the anatomical structure. The integrated measurement system comprises a tracking system, which comprises a shadow imaging tracking system comprising an optical source, a shadow-generating device and a patient specific instrument sensor. An initial position of the instrument or the patient specific instrument is registerable by the patient specific instrument sensor. The shadow-generating device is arranged between the optical source and the imaging device for generating a shadow. The shadow imaging tracking system is configured to compute the elevation of the source from the pattern the shadow casts on the surface of the imaging device. The integrated measurement system comprises an inertial measurement unit to determine the patient's position.

A stereo microscope includes a stand, two optical image acquisition units configured to connect to the stand to capture a stereoscopic image, which define an imaging plane using two optical axes of the image acquisition units, a pair of video glasses including two optical image reproduction units, each having an optical axis and a display for reproducing an image, which together define an image plane, wherein the optical image reproduction units are arranged to produce a stereoscopic image impression, and two optical axes of the optical image reproduction units define an image reproduction plane, a detection device configured to determine spatial orientation of the video glasses, the image reproduction plane, the image plane and the imaging plane, and a control unit configured to pivot the stand so that the intersection lines of the image plane and the imaging plane on the image reproduction plane are made parallel. Methods are also disclosed.

Systems and methods for estimating instrument location are described. The methods and systems can obtain a first motion estimate based on robotic data and a second motion estimate based on position sensor data. The methods and systems can determine a motion estimate disparity based on a comparison of the first and second motion estimates. Based on the motion estimate disparity, the methods and systems can update a weighting factor for a location derivable from the robotic data or a weighting factor for a location derivable from the position sensor data. Based on the updated weighting factor, the methods and systems can determine a location/position estimate for the instrument. The methods and systems can provide increased accuracy for a position estimate in cases where the instrument experiences buckling or hysteresis.

A set of pre-operative images may be captured of an anatomical structure using an endoscopic camera. Each captured image is associated with a position and orientation of the camera at the moment of capture using image guided surgery (IGS) techniques. This image data and position data may be used to create a navigation map of captured images. During a surgical procedure on the anatomical structure, a real-time endoscopic view may be captured and displayed to a surgeon. The IGS navigation system may determine the position and orientation of the real-time image; and select an appropriate pre-operative image from the navigation map to display to the surgeon in addition to the real-time image.

A surgical system includes an XR headset and an XR headset controller. The XR headset is configured to be worn by a user during a surgical procedure and includes a see-through display screen configured to display an XR image for viewing by the user. The XR headset controller is configured to receive a plurality of two-dimensional (“2D”) image data associated with an anatomical structure of a patient. The XR headset controller is further configured to generate a first 2D image from the plurality of 2D image data based on a pose of the XR headset. The XR headset controller is further configured to generate a second 2D image from the plurality of 2D image data based on the pose of the XR headset. The XR headset controller is further configured to generate the XR image by displaying the first 2D image in a field of view of a first eye of the user and displaying the second 2D image in a field of view of a second eye of the user.

A return pad of an electrosurgical system is disclosed. The return pad includes a plurality of conductive members and a plurality of sensing devices. The conductive members are configured to receive radio frequency current applied to a patient. The sensing devices are configured to detect at least one of the following: a nerve control signal applied to the patient; and a movement of an anatomical feature of the patient resulting from application of the nerve control signal.