A method of displaying an operational parameter of a surgical system is disclosed. The method includes receiving, by a cloud computing system of the surgical system, first usage data, from a first subset of surgical hubs of the surgical system; receiving, by the cloud computing system, second usage data, from a second subset of surgical hubs of the surgical system; analyzing, by the cloud computing system, the first and the second usage data to correlate the first and the second usage data with surgical outcome data; determining, by the cloud computing system, based on the correlation, a recommended medical resource usage configuration; and displaying, on respective displays on the first and the second subset of surgical hubs, indications of the recommended medical resource usage configuration.

Provided is a method for forming an implant with an autonomous manufacturing device. The method includes accessing a first computer-readable reconstruction of a being's anatomy; accessing a second computer-readable reconstruction of an implant; accessing a third computer-readable reconstruction comprising the first computer-readable reconstruction superimposed with the second computer readable reconstruction; generating at least one computer-readable trace from a point cloud; and forming an implant with an autonomous manufacturing device, wherein the autonomous manufacturing device forms the implant into a shape defined by at least one dimension of the computer-readable trace.

A Robotic control system has a wand, which emits multiple narrow beams of light, which fall on a light sensor array, or with a camera, a surface, defining the wand's changing position and attitude which a computer uses to direct relative motion of robotic tools or remote processes, such as those that are controlled by a mouse, but in three dimensions and motion compensation means and means for reducing latency.

Systems and methods are provided for identifying a suitable surgical location and/or trajectory for proceeding with a surgical procedure based on local polarization-sensitive optical coherence tomography imaging (PS-OCT). PS-OCT images are obtained of a tissue region and are processed to provide a spatial map of anisotropic structure within the tissue region. The anisotropic structure is processed to determine one or more suitable surgical locations and/or trajectories for avoiding or reducing damage to local anisotropic tissue structure identified within the tissue region. The spatial map of the anisotropic structure is registered with pre-operative volumetric image data identifying anisotropic tissue structure within a second tissue region that is larger than the tissue region imaged by PS-OCT.

A virtual reality system providing a virtual robotic surgical environment, and methods for using the virtual reality system, are described herein. Within the virtual reality system, various user modes enable different kinds of interactions between a user and the virtual robotic surgical environment. For example, one variation of a method for facilitating navigation of a virtual robotic surgical environment includes displaying a first-person perspective view of the virtual robotic surgical environment from a first vantage point, displaying a first window view of the virtual robotic surgical environment from a second vantage point and displaying a second window view of the virtual robotic surgical environment from a third vantage point. Additionally, in response to a user input associating the first and second window views, a trajectory between the second and third vantage points can be generated sequentially linking the first and second window views.

Provided is a control device including a control unit that calculates a first positional relationship between an eye of an observer observing an object displayed on a display unit and a first point in a master-side three-dimensional coordinate system, and controls an imaging unit that images the object so that a second positional relationship between the imaging unit and a second point corresponding to the first point in a slave-side three-dimensional coordinate system corresponds to the first positional relationship.

Various cranial surgery OSS registration device embodiments of the present disclosure encompass a cranial surgery facial mask (128), a mask optical shape sensor (126b) having a mask registration shape extending internally within the cranial surgery facial mask (128) and/or externally traversing the cranial surgery facial mask (128), a cranial surgery tool (101), and a tool optical shape sensor (126d) having a tool registration shape extending internally within the cranial surgery tool (101) and/or externally traversing the cranial surgery tool (101). The mask registration shape of the mask optical shape sensor (126b) and the tool registration shape of the tool optical shape sensor (126d) interactively define a spatial registration of the cranial surgery facial mask (128) and the cranial surgery facial mask (128) and the cranial surgery tool (101) to a cranial image.

Methods and devices for producing cavitation in tissue are provided. Methods and devices are also provided for surgical navigation, including defining a target treatment zone and navigating a focus of a therapy transducer to the target treatment zone. Embodiments are provided for co-registering a plurality of surgical imaging and navigation systems. Systems for performing Histotripsy therapy are also discussed.

A method, a controller, and a surgical hybrid navigation system for transferring a registration of three dimensional image data of a surgical object from a first to a second surgical navigation system are described. A first tracker that is detectable by a first detector of the first surgical navigation system is arranged in a fixed spatial relationship with the surgical object and a second tracker that is detectable by a second detector of the second surgical navigation system is arranged in a fixed spatial relationship with the surgical object. The method includes registering the three dimensional image data of the surgical object in a first coordinate system of the first surgical navigation system and determining a first position and orientation of the first tracker in the first coordinate system and a second position and orientation of the second tracker in a second coordinate system of the second surgical navigation system.

The invention relates to a method for automatically planning a trajectory to be followed during a medical intervention by a medical instrument targeting an anatomy of interest of a patient, said automatic planning method comprising the steps of: acquiring at least one medical image of the anatomy of interest; determining a target point on the previously acquired image; generating a set of trajectory planning parameters from the medical image of the anatomy of interest and the previously determined target point, the set of planning parameters comprising coordinates of an entry point on the medical image. The set of parameters is generated using a machine learning method of neural network type. The invention also relates to a guiding device implementing the set of planning parameters obtained.