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.

A system receives a first set of points corresponding to an anatomical feature. Each point in the first set of points represents a position in a first frame. The system receives a second set of points corresponding to the anatomical feature. Each point in the second set of points represents a position in a second frame. The system identifies a first subset of the first set of points and determines a first transformation to align the first subset of the first set of points with the second set of points. The first set of points is transformed based on the first transformation. The system identifies a second subset of the first set of points and determines a second transformation to align the first and second subsets of the first set of points with the second set of points. The first set of points are transformed based on the second transformation.

Navigation assistance systems and methods for use with a surgical instrument to assist in navigation of a surgical instrument during an operation. The system may include sensors that may observe the patient to generate positioning data regarding the relative position of the surgical instrument and the patient. The system may retrieve imaging data regarding the patient and correlate the imaging data to the positioning data. In turn, the position of the surgical instrument relative to the imaging data may be provided and used to generate navigation date (e.g., position, orientation, trajectory, or the like) regarding the surgical instrument.

Computer-implemented digital image analysis methods, apparatuses, and systems for robotic installation of surgical implants are disclosed. A disclosed apparatus plans a route within an anatomy of a patient from an incision site to a surgical implant site for robotic installation of a surgical implant. The apparatus uses digital imaging data to identify less-invasive installation paths and determine the dimensions of the surgical implant components being used. The apparatus segments the surgical implant into surgical implant subcomponents and modifies the surgical implant subcomponents, such that they can be inserted using the identified less-invasive installation paths.

Various methods and systems are provided for medical imaging. In one embodiment, a method for an interventional imaging procedure comprises identifying a medical device during insertion of the medical device within a subject based on live images of the insertion, extrapolating a trajectory of the medical device during the insertion in real-time based on the live images of the insertion, and displaying the extrapolated trajectory of the medical device on the live images.

Methods, apparatuses, and systems for robotic insertion of a screw, a rod, or another component of a surgical implant into a patient are disclosed. Clinical data from previous surgical procedures or information received from a supervising surgeon can be leveraged to minimize the risk of harm to the patient and improve outcomes. The methods disclosed thus provide more precise placement of implanted surgical components and implants.

An example method includes obtaining, a virtual model of a portion of an anatomy of a patient obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; identifying, based on data obtained by one or more sensors, positions of one or more physical markers positioned relative to the anatomy of the patient; and registering, based on the identified positions, the virtual model of the portion of the anatomy with a corresponding observed portion of the anatomy.

Transducer-based systems and methods may be configured to display a graphical representation of a transducer-based device, the graphical representation including graphical elements corresponding to transducers of the transducer-based device, and also including between graphical elements respectively associated with a set of the transducers and respectively associated with a region of space between the transducers of the transducer-based device. Selection of graphical elements and/or between graphical elements can cause activation of the set of transducers associated with the selected elements. Transducer activation characteristics, such as initiation time, activation duration, activation sequence, and energy delivery characteristics, can vary based on numerous factors. Visual characteristics of graphical elements and between graphical elements can change based on an activation-status of the corresponding transducers. Activation requests for a set of transducers can be denied if it is determined that a transducer in the set of transducers is unacceptable for activation.

The present disclosure relates to a surgical navigation system for the alignment of a surgical instrument and methods for its use, wherein the surgical navigation system may comprise a head-mounted display comprising a lens. The surgical navigation system may further comprise tracking unit, herein the tracking unit may be configured to track a patient tracker and/or a surgical instrument. Patient data may be registered to the patient tracker. The surgical instrument may define an instrument axis. The surgical navigation system may be configured to plan one or more trajectories based on the patient data. The head-mounted display may be configured to display augmented reality visualization, including an augmented reality position alignment visualization and/or an augmented reality angular alignment visualization related to the surgical instrument on the lens of the head-mounted display.

A method for customizing an interactive control boundary includes positioning a virtual implant model relative to a virtual bone model based on a user input, and extracting reference feature information associated with the virtual implant model, wherein the reference feature information describes one of a point, a line, a plane, and a surface associated with the virtual implant model. The method further includes mapping the extracted reference feature information to the virtual model of the bone, and receiving information indicative of a positional landmark associated with the bone, then estimating an intersection between the positional landmark and the mapped reference feature and generating a virtual boundary based, at least in part, on the estimated intersection between the positional landmark and the mapped reference feature.