A system is suggested comprising an optical sensing means and a processing unit. The optical sensing means may include an optical guide with a distal end, wherein the optical guide may be configured to be arranged in a device to be inserted into tissue in a region of interest. The processing unit may be configured to receive information of a region of interest including different tissue types as well as of a path through the tissues, to determine a sequence of tissue types along the path, to determine a tissue type at the distal end of the optical guide based on information received from the optical sensing means, to compare the determined tissue type with the tissue types on the path, to determine possible positions of the distal end of the optical guide on the path based on the comparison of tissue types, and to generate a signal indicative for the possible positions.

A spinal disorder diagnosis and treatment planning system is provided. The diagnosis and treatment planning system includes a mixed reality holographic display including at least one processor, at least one camera, at least one sensor, and being configured to acquire data points corresponding to a surface of a body adjacent to vertebral tissue. A computer database is configured to transmit imaging of the body including the vertebral tissue to the mixed reality holographic display. The mixed reality holographic display is configured to display a first holographic image of the vertebral tissue superimposed with a body image including the surface. Methods are also disclosed.

A spinal disorder diagnosis and treatment planning system is provided. The diagnosis and treatment planning system includes a mixed reality holographic display including at least one processor, at least one camera, at least one sensor, and being configured to acquire data points corresponding to a surface of a body adjacent to vertebral tissue. A computer database is configured to transmit imaging of the body including the vertebral tissue to the mixed reality holographic display. The mixed reality holographic display is configured to display a first holographic image of the vertebral tissue superimposed with a body image including the surface. Methods are also disclosed.

A surgical system includes an arm extending from the base and having a distal end configured to be coupled to a tool, a first marker coupled in fixed relation to the base, and a tracking system. The tracking system is configured to collect first data indicative of a position of the first marker and collect second data indicative of a position an anatomical feature of a patient. The surgical system also includes a processor configured to calculate a position of the tool relative to the anatomical feature based on the first data and the second data.

A surgical system includes an arm extending from the base and having a distal end configured to be coupled to a tool, a first marker coupled in fixed relation to the base, and a tracking system. The tracking system is configured to collect first data indicative of a position of the first marker and collect second data indicative of a position an anatomical feature of a patient. The surgical system also includes a processor configured to calculate a position of the tool relative to the anatomical feature based on the first data and the second data.

A computer assisted surgery system comprising: a computerised surgical apparatus; and a control apparatus; wherein the control apparatus comprises circuitry configured to: receive information indicating a first region of a surgical scene from which information is obtained by the computerised surgical apparatus to make a decision; receive information indicating a second region of the surgical scene from which information is obtained by a medical professional to make a decision; determine if there is a discrepancy between the first and second regions of the surgical scene; and if there is a discrepancy between the first and second regions of the surgical scene: perform a predetermined process based on the discrepancy.

A computer assisted surgery system comprising: a computerised surgical apparatus; and a control apparatus; wherein the control apparatus comprises circuitry configured to: receive information indicating a first region of a surgical scene from which information is obtained by the computerised surgical apparatus to make a decision; receive information indicating a second region of the surgical scene from which information is obtained by a medical professional to make a decision; determine if there is a discrepancy between the first and second regions of the surgical scene; and if there is a discrepancy between the first and second regions of the surgical scene: perform a predetermined process based on the discrepancy.

The disclosure describes examples of machine-learned model based techniques. A computing system may obtain patient characteristics of a patient and implant characteristics of an implant. The computing system may determine information indicative of an operational duration of the implant based on the patient characteristics and the implant characteristics and output the information indicative of the operational duration of the implant. In some examples, one or more processors may be configured to receive, with a machine-learned model of the computing system, implant characteristics of an implant to be manufactured, apply model parameters of the machine-learned model to the implant characteristics, determine information indicative of dimensions of the implant to be manufactured based on the applying of the model parameters of the machine-learned model, and output the information indicative of the dimensions of the implant to be manufactured.

The disclosure describes examples of machine-learned model based techniques. A computing system may obtain patient characteristics of a patient and implant characteristics of an implant. The computing system may determine information indicative of an operational duration of the implant based on the patient characteristics and the implant characteristics and output the information indicative of the operational duration of the implant. In some examples, one or more processors may be configured to receive, with a machine-learned model of the computing system, implant characteristics of an implant to be manufactured, apply model parameters of the machine-learned model to the implant characteristics, determine information indicative of dimensions of the implant to be manufactured based on the applying of the model parameters of the machine-learned model, and output the information indicative of the dimensions of the implant to be manufactured.

An example physical tracking tool includes a main body defining a channel configured to receive a tool, the channel having a longitudinal axis; and one or more physical tracking features attached to the main body, each physical tracking feature comprising a plurality of planar faces, each planar face of the plurality of planar faces including different a graphical pattern of a plurality of graphical patterns.