Abstract: This disclosure describes a system for measuring a distance between two points in a surgical space. The system moves an imaging device to a first pose to capture first imaging data showing a first region of a surface of an anatomical structure, receives first imaging data, determines a first distance between the imaging device in the first pose and a first point on the surface, and determines first coordinates of the first point. The system moves the imaging device to a second pose to capture second imaging data showing a second region of the surface, receives second imaging data, determines a second distance between the imaging device in the second pose and a second point on the surface, and determines second coordinates for the second point. The system determines, based on the first coordinates and the second coordinates, a third distance between the first point and the second point.

Abstract: An exemplary object masking system is configured to mask a recognized object during an application of a synthetic element to an original image. For example, the object masking system accesses a model of a recognized object depicted in an original image of a scene. The object masking system associates the model with the recognized object. The object masking system then generates presentation data for use by a presentation system to present an augmented version of the original image in which a synthetic element added to the original image is, based on the model as associated with the recognized object, prevented from occluding at least a portion of the recognized object. In this way, the synthetic element is made to appear as if located behind the recognized object. Corresponding systems and methods are also disclosed.

Abstract: An exemplary contextual assistance system identifies, during a surgical procedure, an operational context of the surgical procedure while a particular object is present at a surgical site depicted by a first version of an image. Based on the identified operational context, the contextual assistance system augments a depiction of the particular object within a second version of the image that is presented to a user associated with the surgical procedure. Corresponding systems and methods are also disclosed.

Abstract: An exemplary object masking system is configured to mask a recognized object during an application of a synthetic element to an original image. For example, the object masking system accesses a model of a recognized object depicted in an original image of a scene. The object masking system associates the model with the recognized object. The object masking system then generates presentation data for use by a presentation system to present an augmented version of the original image in which a synthetic element added to the original image is, based on the model as associated with the recognized object, prevented from occluding at least a portion of the recognized object. In this way, the synthetic element is made to appear as if located behind the recognized object. Corresponding systems and methods are also disclosed.

Abstract: An illustrative image processing system is configured to apply. as an input to a processing module. a first video stream generated by an imaging device during a medical procedure. The processing module is configured to generate. based on the input. output data used to perform an image-based operation associated with the medical procedure. The image processing system is further configured to detect, while the first video stream is being applied to the processing module. a deficiency associated with the first video stream and apply. as the input to the processing module and based on the detecting of the deficiency. a second video stream generated by the imaging device during the medical procedure.

Abstract: An illustrative image processing system is configured to apply a video stream to a machine learning model, the video stream generated by an imaging device during a medical procedure performed with respect to a patient; classify, based on an output of the machine learning model, an image frame included in the video stream as an ex-body frame that depicts content external to a body of the patient: and apply, based on the classifying the image frame as the ex-body frame, a privacy enhancing operation to the image frame.

Abstract: An exemplary image management system accesses semantic information regarding an anatomical object in a surgical space and registers, based at least in part on the semantic information regarding the anatomical object, a first dataset of a first visual representation of the surgical space with a second dataset of a second visual representation of the surgical space.

Abstract: An exemplary object masking system is configured to mask a recognized object during an application of a synthetic element to an original image. For example, the object masking system accesses a model of a recognized object depicted in an original image of a scene. The object masking system associates the model with the recognized object. The object masking system then generates presentation data for use by a presentation system to present an augmented version of the original image in which a synthetic element added to the original image is, based on the model as associated with the recognized object, prevented from occluding at least a portion of the recognized object. In this way, the synthetic element is made to appear as if located behind the recognized object. Corresponding systems and methods are also disclosed.

Abstract: An exemplary system includes a memory storing instructions and a processor communicatively coupled to the memory. The processor may be configured to execute the instructions to: detect an intent of a user of a computer-assisted surgical system to use a robotic instrument attached to the computer-assisted surgical system to interact with a target object while the target object is located in a surgical space; determine a pose of the target object in the surgical space; and perform, based on the detected intent of the user to interact with the target object and the determined pose of the target object in the surgical space, an operation with respect to the target object.

Abstract: An exemplary contextual assistance system identifies, during a surgical procedure, an operational context of the surgical procedure while a particular object is present at a surgical site depicted by a first version of an image. Based on the identified operational context, the contextual assistance system augments a depiction of the particular object within a second version of the image that is presented to a user associated with the surgical procedure. Corresponding systems and methods are also disclosed.