Various embodiments of a surgical instrument are disclosed. The surgical instrument includes a handle, a working element extending from the handle configured to be positioned internal of a target site while the handle is external to the target site, and a laser guide configured to generate at least one emitted marker. The emitted marker corresponds to movement of the working element internal of the target site. Various embodiments of methods using the surgical instrument are also disclosed.

Embodiments of architecture, systems, and methods to develop a learning/evolving system to robotically perform and model one or more activities of a medical procedure where the medical procedure may include diagnosing a patient's medical condition(s), treating medical condition(s), and robotically diagnosing a patient's medical condition(s) and performing one or more medical procedure activities based on the diagnosis without User intervention where the activities may be performed in computer-based environment formed by the learning/evolving system, live, or a combination thereof.

Embodiments of architecture, systems, and methods to develop a learning/evolving system to robotically perform and model one or more activities of a medical procedure where the medical procedure may include diagnosing a patient's medical condition(s), treating medical condition(s), and robotically diagnosing a patient's medical condition(s) and performing one or more medical procedure activities based on the diagnosis without User intervention where the activities may be performed in computer-based environment formed by the learning/evolving system, live, or a combination thereof.

A method for implanting an intrafacet implant includes making an incision, advancing an instrument assembly through the incision and to a facet joint. The instrument assembly includes a guide having a lumen extending therethrough. The method includes anchoring the guide at the facet joint, advancing an intrafacet implant to the facet joint through the guide using an inserter, and countersinking the intrafacet implant within the facet joint using the inserter.

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.

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.

Devices, systems, and methods for treating cardiac arrhythmia are disclosed herein. In some embodiments, devices, systems, and methods disclosed herein deliver interrogating energy to tissue at a position on a wall of an anatomical structure of a patient. If the devices, systems, and methods disclosed herein detect a change in electrical activity of the anatomical structure in response to the interrogating energy, the devices, systems, and methods disclosed herein can apply irreversible therapy to the tissue. In some embodiments, the change in electrical activity corresponds to slowing or termination of a detected arrhythmia.

Devices, systems, and methods for treating cardiac arrhythmia are disclosed herein. In some embodiments, devices, systems, and methods disclosed herein deliver interrogating energy to tissue at a position on a wall of an anatomical structure of a patient. If the devices, systems, and methods disclosed herein detect a change in electrical activity of the anatomical structure in response to the interrogating energy, the devices, systems, and methods disclosed herein can apply irreversible therapy to the tissue. In some embodiments, the change in electrical activity corresponds to slowing or termination of a detected arrhythmia.

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.

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.