The present disclosure relates to a method for manufacturing nose implant, including obtaining a 3-dimensional image of a nasal bone and a 3-dimensional image of a nasal cavity; modeling a nasal cartilage by applying information of anatomy between the nasal bone, nasal cavity, and nasal cartilage, to the 3-dimensional image of the nasal bone and the 3-dimensional image of the nasal cavity; and modeling an inner shape of where the implant may be seated, from the 3-dimensional image of the nasal bone and the modelled nasal cartilage.

A surgical system includes a robotic device, a surgical tool mounted on the robotic device, and a processing circuit. The processing circuit is configured to receive image data of an anatomy, generate a virtual bone model based on the image data, identify a soft tissue attachment point on the virtual bone model, plan placement of an implant based on the soft tissue attachment point, generate a control object based on the placement of the implant, and control the robotic device to confine the surgical tool within the control object.

A surgical system includes a robotic device, a surgical tool mounted on the robotic device, and a processing circuit. The processing circuit is configured to receive image data of an anatomy, generate a virtual bone model based on the image data, identify a soft tissue attachment point on the virtual bone model, plan placement of an implant based on the soft tissue attachment point, generate a control object based on the placement of the implant, and control the robotic device to confine the surgical tool within the control object.

Systems and methods for visualizing navigation of a medical device with respect to a target using a live fluoroscopic view. The methods include displaying, in a screen, a three-dimensional (3D) view of a 3D model of a target from the perspective of a medical device tip. The methods also include displaying, in the screen, a live two-dimensional (2D) fluoroscopic view showing a medical device, and displaying a target mark, which corresponds to the 3D model of the target, overlaid on the live 2D fluoroscopic view. The methods may include determining whether the medical device tip is aligned with the target, displaying the target mark in a first color if the medical device tip is aligned with the target, and displaying the target mark in second color different from the first color if the medical device tip is not aligned with the target.

Systems and methods for visualizing navigation of a medical device with respect to a target using a live fluoroscopic view. The methods include displaying, in a screen, a three-dimensional (3D) view of a 3D model of a target from the perspective of a medical device tip. The methods also include displaying, in the screen, a live two-dimensional (2D) fluoroscopic view showing a medical device, and displaying a target mark, which corresponds to the 3D model of the target, overlaid on the live 2D fluoroscopic view. The methods may include determining whether the medical device tip is aligned with the target, displaying the target mark in a first color if the medical device tip is aligned with the target, and displaying the target mark in second color different from the first color if the medical device tip is not aligned with the target.

Examples of systems and methods described herein may utilize augmented reality devices and pointers in generating intra-operative plans and providing guidance for knee surgery. A pointer may indicate one or more anatomical points. An augmented reality device may detect positions of knee anatomical features based on a position of the pointer and positions of fiducials associated with a marker affixed to body part proximate to a knee, such as a femur or a tibia. The augmented reality device may generate a planned resection plane based on the positions of the knee anatomical features, and determine an actual resection plane based on a view of a resection guide having a marker inserted in the guide. The augmented reality device may provide guidance to position the guide to align the actual resection plane with the planned resection plane.

Examples of systems and methods described herein may utilize augmented reality devices and pointers in generating intra-operative plans and providing guidance for knee surgery. A pointer may indicate one or more anatomical points. An augmented reality device may detect positions of knee anatomical features based on a position of the pointer and positions of fiducials associated with a marker affixed to body part proximate to a knee, such as a femur or a tibia. The augmented reality device may generate a planned resection plane based on the positions of the knee anatomical features, and determine an actual resection plane based on a view of a resection guide having a marker inserted in the guide. The augmented reality device may provide guidance to position the guide to align the actual resection plane with the planned resection plane.

Some embodiments of the present disclosure provide a pneumothorax detection method performed by a computing device. The method may comprise obtaining predicted pneumothorax information, predicted tube information, and a predicted spinal baseline with respect to an input image from a trained pneumothorax prediction model; determining at least one pneumothorax representative position for the predicted pneumothorax information and at least one tube representative position for the predicted tube information, in a prediction image in which the predicted pneumothorax information and the predicted tube information are displayed; dividing the prediction image into a first region and a second region by the predicted spinal baseline; and determining a region in which the at least one pneumothorax representative position and the at least one tube representative position exist among the first region and the second region.

Some embodiments of the present disclosure provide a pneumothorax detection method performed by a computing device. The method may comprise obtaining predicted pneumothorax information, predicted tube information, and a predicted spinal baseline with respect to an input image from a trained pneumothorax prediction model; determining at least one pneumothorax representative position for the predicted pneumothorax information and at least one tube representative position for the predicted tube information, in a prediction image in which the predicted pneumothorax information and the predicted tube information are displayed; dividing the prediction image into a first region and a second region by the predicted spinal baseline; and determining a region in which the at least one pneumothorax representative position and the at least one tube representative position exist among the first region and the second region.

A robotic surgical system comprises a surgical tool, a manipulator configured to support the surgical tool, a force/torque sensor to measure forces and torques applied to the surgical tool, and a control system. The control system obtains a three-dimensional milling path for the surgical tool. The control system also receives one or more signals from the force/torque sensor in response to a user manually applying user forces and torques to the surgical tool. The control system determines a commanded pose to which to command the manipulator to advance the surgical tool along the milling path based on a tangential component of the user forces and torques, based on a virtual simulation using virtual constraints, and/or based on other suitable factors to promote guided, manual movement of the surgical tool along the milling path.