A configuration optimization system determines a reachability of a target object in a surgical space by a robotic instrument of a computer-assisted surgical system for a first configuration of the computer-assisted surgical system. The configuration optimization system determines a second configuration of the computer-assisted surgical system that improves the reachability of the target object by the robotic instrument. The configuration optimization system provides, to the computer-assisted surgical system, data indicating the second configuration.

A virtual endoscopic view shows a surgical area and surrounding anatomy and may also show a position of a surgical instrument in use during a surgical procedure, allowing a surgeon to virtually view the surgical area when direct viewing or actual endoscopic views are incomplete, obstructed, or otherwise unavailable or undesirable. In order to render the endoscopic view, an IGS navigation system may be configured with an observer point and an observer orientation within 3-D space based upon user inputs. A user interface for defining these points allows a user to view a virtual endoscopic preview in real-time while providing inputs, thus improving the likelihood that the resulting virtual endoscopic view is as desired by the user; and reducing time spent redefining and reconfiguring the virtual endoscopic view. The virtual endoscopic preview may provide combinations of static and dynamic images to illustrate the spatial relationship of the provided inputs.

Provided in accordance with the present disclosure are systems and methods for identifying a percutaneous tool in image data. An exemplary method includes receiving image data of at least a portion of a patient's body, identifying an entry point of a percutaneous tool through the patient's skin in the image data, analyzing a portion of the image data including the entry point of the percutaneous tool through that patient's skin to identify a portion of the percutaneous tool inserted through the patient's skin, determining a trajectory of the percutaneous tool based on the identified portion of the percutaneous tool inserted through the patient's skin, identifying a remaining portion of the percutaneous tool in the image data based on the identified entry point and the determined trajectory of the percutaneous tool, and displaying the identified portions of the percutaneous tool on the image data.

An apparatus includes a processor and a non-transitory memory. The processor is configured to receive pre-operative patient specific data. The pre-operative patient specific data is inputted to a first machine learning model to determine a first predicted post-operative joint performance data output including first predicted post-operative outcome metrics. A reconstruction plan of the joint of the patient is generated based on a medical image of the joint, and at least one arthroplasty surgical parameter obtained from the user. The at least one arthroplasty surgical parameter is inputted into a second machine learning model to determine a second predicted post-operative joint performance data output including second predicted post-operative outcome metrics. The second predicted post-operative joint performance data output is updated to include an arthroplasty surgery recommendation, in response to the user varying the at least one arthroplasty surgical parameter, before the arthroplasty surgery, during the arthroplasty surgery, or both.

A medical support robot includes: a storage that houses a medical instrument; at least one robotic arm including a tip including an end effector that handles the medical instrument; a traveling structure that supports the storage and the at least one robotic arm and travels; and circuitry that performs control that may comprising causing the traveling structure to move to a medical robot that is a robot that performs medical practice.

A plurality of three-dimensional fixator graphical representations may include graphical indications of a strut swap range. A plurality of replaced strut graphical representations may change from a first rendering state in a swap start fixator graphical representation to a second rendering state in a swap end fixator graphical representation. A plurality of replacement graphical representations may change from the second rendering state in the swap start fixator graphical representation to the first rendering state in the swap end fixator graphical representation. In some examples, the plurality of replaced strut graphical representations may gradually fade out from a swap start stage to a swap end stage, and the plurality of replacement strut graphical representations may gradually fade in from a swap start stage to a swap end stage. Additionally, a treatment plan including at least one interfamily strut swap may be generated for manipulating a fixator to correct a deformity.

Systems and methods for video analysis are provided. The systems and methods may utilize machine learning to recognize steps of a medical procedure as they are being performed, and compare them with expected steps. The systems and methods may aid in supporting a medical practitioner before the procedure, during the procedure, as well as providing feedback after the procedure has been completed.

Examples relate to a system, a method, and a computer program for a microscope of a surgical microscope system. The system configured to obtain imaging sensor data from at least one optical imaging sensor of the microscope. The imaging sensor data comprises a first component that is based on reflectance imaging and a second component that is based on fluorescence imaging. The system is configured to generate a digital view of a surgical site based on at least the first component of the imaging sensor data. The system is configured to detect at least one feature of interest in the second component of the imaging sensor data and generate a visual indicator of the at least one feature of interest. The system is configured to provide a display signal to a display device of the surgical microscope system, the display signal comprising the digital view and the visual indicator.

Presented are methods and systems for determining, monitoring, and displaying the relative positioning of two rigid bodies such as during a surgery. In particular, the present disclosure relates to methods and systems for positioning a prosthesis relative to a bone during a surgery as well as to systems and methods for verifying resulting relative positioning of adjacent bones.

A device for ablating target tissue of a patient with electrical energy is provided. An elongate shaft includes a proximal portion and a distal portion, and a radially expandable element is attached to the distal portion. An ablation element for delivering electrical energy to target tissue is mounted to the radially expandable element. The device can be constructed and arranged to ablate the duodenal mucosa of a patient while avoiding damage to the duodenal adventitial tissue. Systems and methods of treating target tissue are also provided.