According to an aspect, a preoperative planning method for a high-tibial knee osteotomy procedure is provided. The method includes: a) constructing a 3D model of a patient's bones; b) analyzing the 3D model to select a desired correction angle to apply to the patient's tibia bone to adjust a mechanical axis thereof; c) determining surgical steps required to apply the desired correction angle to the patient's tibia bone; d) designing a patient-specific guide to guide generic surgical tools in performing the surgical steps, the patient-specific guide being designed to conform to the anatomy of the patient's bones based on the 3D model; and e) manufacturing the patient-specific guide designed in step d). A corresponding kit, system and computer readable medium for performing the method are also provided.

A surgical system includes a surgical device, a surgical tool coupled to the surgical device, a user interface, and a control system. The control system is configured to identify a target point or target region of an anatomy of a patient, generate a virtual object based on the target point or target region, the virtual object comprising a funnel-shaped boundary having a central axis substantially aligned with the target point or target region, and control the surgical device to constrain the surgical tool from penetrating the funnel-shaped boundary.

Robotic system and methods for robotic arthroplasty. The robotic system includes a machining station and a guidance station. The guidance station tracks movement of various objects in the operating room, such as a surgical tool, a humerus of a patient, and a scapula of the patient. The guidance station tracks these objects for purposes of displaying their relative positions and orientations to the surgeon and, in some cases, for purposes of controlling movement of the surgical tool relative to virtual cutting boundaries or other virtual objects associated with the humerus and scapula to facilitate preparation of bone to receive a shoulder implant system.

A robotic cutting system including a robotic manipulator and a cutting tool coupled to the robotic manipulator. The cutting tool comprises a saw blade. A controller is also coupled to the robotic manipulator. The controller is configured to control operation of the robotic manipulator, the cutting tool, and/or another cutting tool, to cut the bone in an initial stage of cutting until a notch is created in the bone at a predetermined depth. A final stage of cutting is then completed by cutting along the cutting plane.

A method for joint replacement is provided. A representation of a first bone is created, and a representation of a second bone is created. Bone preparation for implanting a first implant on the first bone is planned. The first bone to receive the first implant is prepared by manipulating a surgical tool to sculpt the first bone. Bone preparation for implanting a second implant on the second bone after preparing the first bone is planned. The second bone to receive the second implant is prepared by manipulating the surgical tool to sculpt the second bone.

A surgical system includes a robotic device, and a surgical tool coupled to the robotic device and comprising a distal end. The system further includes a neural monitor configured to generate an electrical signal and apply the electrical signal to the distal end of the surgical tool, wherein the electrical signal causes innervation of a first portion of a patient's anatomy which generates an electromyographic signal, and a sensor configured to measure the electromyographic signal. The neural monitor is configured to determine a distance between the distal end of the surgical tool and a portion of nervous tissue based on the electrical signal and the electromyographic signal, and cause feedback to be provided to a user based on the distance.

A method for correcting an error of a nonvolatile memory of an embedded component for an end effector used in a robotic surgical system is provided. The robotic surgical system includes a host controller in communication with the embedded component. The embedded component of the end effector performs a test process to test the nonvolatile memory. The host controller of the robotic surgical system requests a result of the test process from the embedded component of the end effector. The host controller determines that the error of the nonvolatile memory has occurred after requesting the result of the test process from the embedded component of the end effector. The host controller modifies the nonvolatile memory of the embedded component of the end effector to correct the error.

A computer-assisted surgery system may have a robotic arm including a surgical tool and a processor communicatively connected to the robotic aim. The processor may be configured to receive, from a neural monitor, a signal indicative of a distance between the surgical tool and a portion of a patient's anatomy including nervous tissue. The processor may be further configured to generate a command for altering a degree to which the robotic aim resists movement based on the signal received from the neural monitor; and send the command to the robotic arm.

Described herein are systems, apparatus, and methods for precise placement and guidance of tools during surgery, particularly spinal surgery, using minimally invasive surgical techniques. Several minimally invasive approaches to spinal surgeries were conceived, percutaneous technique being one of them. This procedures looks to establish a skin opening as small as possible by accessing inner organs via needle-puncture of the skin. The percutaneous technique is used in conjunction with a robotic surgical system to further enhance advantages of manual percutaneous techniques by improving precision, usability and/or shortening surgery time by removal of redundant steps.

A computer-assisted surgery system may have a robotic arm including a surgical tool and a processor communicatively connected to the robotic aim. The processor may be configured to receive, from a neural monitor, a signal indicative of a distance between the surgical tool and a portion of a patient's anatomy including nervous tissue. The processor may be further configured to generate a command for altering a degree to which the robotic aim resists movement based on the signal received from the neural monitor; and send the command to the robotic arm.