Systems and methods may be used to perform robot-aided surgery. A system may include a robotic controller to monitor a position and orientation of an end effector coupled to an end of a robotic arm. The robotic controller may apply a force to a bone using the end effector, such as via a soft tissue balancing component. The robotic controller may determine soft tissue balance using information from a tracking system, such as a position of a first tracker affixed to the bone. The soft tissue balance may be output, such as to a display device.

A system includes a dilation catheter and a guide member. The dilation catheter includes a proximal end, a distal end, a dilator, a navigation sensor, and a force sensor. The dilator is positioned proximal to the distal end and is configured to transition between a non-dilated configuration and a dilated configuration. The navigation sensor is positioned distal to the dilator and is configured to cooperate with a guidance system and thereby provide signals indicating a position of the dilation catheter in three-dimensional space. The force sensor is positioned distal to the dilator and is configured to provide signals indicating a force encountered by the force sensor. The dilation catheter is configured to slide relative to the guide member. A distal portion of the guide member is sized and configured to fit in a nasal cavity of a patient.

A computer-implemented method for creating an activity-optimized cutting guides for surgical procedures includes receiving one or more pre-operative images depicting one or more anatomical joints of a patient, and creating a three-dimensional anatomical model of the one or more anatomical joints based on the one or more pre-operative images. One or more patient-specific anatomical measurements are determined based on the three-dimensional anatomical model. A statistical model of joint performance is applied to the patient-specific anatomical measurements to identify one or more cut angles for performing a surgical procedure. A patient-specific cutting guide is created that comprises one or more apertures positioned based on the one or more cut angles.

A region-based augmentation system is configured to determine that a viewpoint of a user of a display device is directed within an anchor region of a physical world containing the user. In response, the system directs the display device to present augmented content in an evident manner The evident manner comprises anchoring the augmented content relative to the viewpoint, such that the augmented content follows the viewpoint as the user moves the viewpoint within the anchor region. The system further determines that the viewpoint is directed outside of the anchor region by the user. In response, the system directs the display device to present the augmented content in a less evident manner. The presenting of the augmented content in the less evident manner comprises presenting the augmented content less visibly than the evident manner and/or unanchoring the augmented content relative to the viewpoint. Corresponding methods and systems are also disclosed.

A medical system for use in a lithotripsy procedure may include a processor configured to receive input from a first imaging device, wherein the first imaging device may be configured to send image data representative of an image captured in a lumen of a kidney, bladder, or ureter to the processor. The processor may be configured to display the image on a display device coupled to the processor, and analyze the image to sense the presence of an object within the image. If an object was sensed within the image, the processor may analyze the image to estimate a size of the object, and display the estimate on the display device.

Methods, apparatuses, and systems for automated disease detection using multiple-wavelength imaging are disclosed. The disclosed system uses multiple imaging modalities for assessing a medical condition. Data collected from multiple cameras and imaging modalities is processed to identify common structures. The common structures are used to scale and align images, which are analyzed to detect one or more medical conditions. Each acquired image is assessed, and the resulting probabilities are consolidated. The images can be assessed together by using artificial intelligence and machine learning.

Systems and methods monitoring progress of procedures by radiation exposure are provided. Position data is received for an equipment item used for the procedure and configured to produce radiation (“radiation device”). Position data is received from the tracking device during the procedure. An estimated exposure level is determined by a controller for the individual based, at least in part, on the position data from the tracking device relative to the position data from the radiation device and compared to a benchmark. If the estimated exposure level for the individual exceeds the benchmark, an electronic notification is generated.

A medical system for use in a lithotripsy procedure may include a processor configured to receive input from a first imaging device, wherein the first imaging device may be configured to send image data representative of an image captured in a lumen of a kidney, bladder, or ureter to the processor. The processor may be configured to display the image on a display device coupled to the processor, and analyze the image to sense the presence of an object within the image. If an object was sensed within the image, the processor may analyze the image to estimate a size of the object, and display the estimate on the display device.

Aspects of stone identification methods and systems are described. According to one aspect, an exemplary method comprises: transmitting to a processing unit, with an imaging element mounted on a distal end of a scope, image data about a stone object inside a body cavity; generating from the image data, with the processing unit, a visual representation of the stone object and the body cavity; establishing from a user input, with the processing unit, a scale for the visual representation; determining from the visual representation, with the processing unit, a size of the stone object on the scale; comparing, with the processing unit, the size of the stone object with a predetermined maximum size to determine a removal status; and augmenting, with the processing unit, the visual representation to include an indicator responsive to the removal status. Associated systems are also described.