Abstract: Devices, systems, methods, and computer program products for performing medical procedures are disclosed herein. In some embodiments, a system for processing medical image data is configured to receive image data of a patient's anatomy. The system can select a first section of the image data, each image interval in the first section having an interval size within a predetermined size range. The system can identify a second section of the image data including at least one image interval having an interval size outside the predetermined size range. The system can generate a resampled second section by adding, deleting, and/or resampling one or more interpolated images in the second section, such that each image interval in the resampled second section has an interval size within the predetermined size range. The system can output a combined section including the first section and the resampled second section.

Abstract: Devices, systems, methods, and computer program products for performing medical procedures are disclosed herein. In some embodiments, a system for planning a medical procedure is configured to receive a three-dimensional (3D) model of an anatomic region of a patient. The 3D model can include a set of linked structures and at least one isolated structure spaced apart from the linked structure. The system can output a graphical representation of the linked structures and the at least one isolated structure, and can receive operator input indicating a set of locations on the graphical representation. The set of locations can represent a connection between the at least one isolated structure and the linked structures. Based on the operator input, the system can generate a bridge structure connecting the at least one isolated structure to the linked structures.

Abstract: The disclosed technology includes a computer-implemented technique for generating images of physically producible products in response to user input describing a conceptual product. The system receives user input—such as natural language text, speech, or images—via a user interface, configures a prompt for a generative artificial intelligence (AI) system, and generates an image representing a version of the conceptual product with distinct physical attributes. Each version is associated with a unique identifier, enabling selection, modification, and purchase of the conceptual product. The system supports multiple product categories, including jewelry, home décor, and fashion, and extracts physical attributes to determine manufacturability and pricing. User feedback is incorporated to improve AI performance. The invention enables presentation of selectable product versions and initiates manufacturing processes based on user selections, supporting unstructured user input and multiple data modalities.

Abstract: The disclosed technology includes a computer-implemented technique for predicting or estimating physical attributes of products depicted in images is disclosed. The method includes receiving one or more images—either photographs of real-world products or synthetic images generated from user-provided descriptions—processing the images using one or more machine learning (ML) models trained to detect and measure physical characteristics, and predicting or estimating measures such as volume, weight, and dimensions. The system can identify product categories, select appropriate ML models, and generate natural language descriptions of predicted attributes for user display. Training datasets may include both real and synthetic images with known attributes, and user feedback can be incorporated to improve model accuracy.

Abstract: A computer-implemented technique for preprocessing user input to generate images of synthetic products representing conceptual products includes receiving user input, including text and/or images, indicative of a conceptual product, and selecting a machine learning (ML) model from a set of models based on characteristics such as product category or maker. Image inputs can be converted to text-based descriptions, combined with text inputs, and configured as a prompt instruction for the selected ML model, incorporating constraints (e.g., material, production, cost) and user feedback. The ML model can generate one or more images of a synthetic product, which can be refined iteratively based on further feedback. The system supports recognition of known and unknown objects in images and can adapt prompt instructions accordingly. The generated images include synthetic products that are producible as physical products, enabling efficient conceptual product visualization and refinement.

Abstract: The disclosed technology includes a computer-implemented technique for generating images of synthetic products that are manufacturable as physical products is disclosed. The system receives user input describing a conceptual product via a user interface, including text and/or image data. Based on the input, a manufacturer-specific or general generative model is selected and provided with a text-based prompt derived from the conceptual product description. The model generates one or more images of synthetic products, each conforming to manufacturing constraints. The images are presented to the user, each optionally associated with pricing and delivery information, and represent products that are manufacturable and acquirable via the interface. The system may incorporate manufacturability analysis, quality assurance, and model training using user feedback and product data.

Abstract: A computer-implemented technique for preprocessing user input to generate images of synthetic products representing conceptual products includes receiving user input, including text and/or images, indicative of a conceptual product, and selecting a machine learning (ML) model from a set of models based on characteristics such as product category or maker. Image inputs can be converted to text-based descriptions, combined with text inputs, and configured as a prompt instruction for the selected ML model, incorporating constraints (e.g., material, production, cost) and user feedback. The ML model can generate one or more images of a synthetic product, which can be refined iteratively based on further feedback. The system supports recognition of known and unknown objects in images and can adapt prompt instructions accordingly. The generated images include synthetic products that are producible as physical products, enabling efficient conceptual product visualization and refinement.

Abstract: A method comprises displaying image data of an anatomical region via a display system, determining a target location in the anatomical region, and determining an anatomical boundary based on the target location. The anatomical boundary indicates a surface of an anatomical structure in the anatomical region. The anatomical structure is to be avoided by a tool extendable from a medical instrument. The method further comprises determining a trajectory zone around a path between a distal end of the medical instrument and the target location. The target location is between the distal end of the medical instrument and the anatomical boundary. The method further comprises determining a zone boundary based on an intersection of the trajectory zone with the anatomical boundary.

Abstract: A medical system comprises a display system, a user input device, and a control system communicatively coupled to the display system and the user input device. The control system is configured to display image data of an anatomical region via the display system, determine a target location in the anatomical region, and determine an anatomical boundary based on the target location. The anatomical boundary indicates a surface of an anatomical structure in the anatomical region. The control system is further configured to determine a trajectory zone around a path between an exit point and the target location. The control system is further configured to determine a zone boundary based on an intersection of the trajectory zone with the anatomical boundary.

Abstract: A system may comprise one or more processors and memory having computer readable instructions stored thereon. The computer readable instructions, when executed by the one or more processors, may cause the system to receive image data including a segmented candidate target nodule, receive a seed point, and determine if the segmented candidate target nodule is within a threshold proximity of the seed point. Based on a determination that the segmented candidate target nodule is within the threshold proximity of the seed point, the segmented candidate target nodule may be identified as an identified target nodule. A target nodule boundary corresponding to the identified target nodule may be displayed.

Abstract: Devices, systems, methods, and computer program products for performing medical procedures are disclosed herein. In some embodiments, a system for processing medical image data is configured to receive image data of a patient's anatomy. The system can select a first section of the image data, each image interval in the first section having an interval size within a predetermined size range. The system can identify a second section of the image data including at least one image interval having an interval size outside the predetermined size range. The system can generate a resampled second section by adding, deleting, and/or resampling one or more interpolated images in the second section, such that each image interval in the resampled second section has an interval size within the predetermined size range. The system can output a combined section including the first section and the resampled second section.

Abstract: Devices, systems, methods, and computer program products for performing medical procedures are disclosed herein. In some embodiments, a system for planning a medical procedure is configured to receive a three-dimensional (3D) model of an anatomic region of a patient. The 3D model can include a set of linked structures and at least one isolated structure spaced apart from the linked structure. The system can output a graphical representation of the linked structures and the at least one isolated structure, and can receive operator input indicating a set of locations on the graphical representation. The set of locations can represent a connection between the at least one isolated structure and the linked structures. Based on the operator input, the system can generate a bridge structure connecting the at least one isolated structure to the linked structures.

Abstract: A system comprises a user control system including an input control device for controlling motion of a virtual medical instrument through a virtual passageway. The system further comprises a display for displaying a graphical user interface and a plurality of training modules. The graphical user interface includes a representation of the virtual medical instrument and a representation of the virtual passageway. The system further comprises a non-transitory, computer-readable storage medium that stores a plurality of instructions executable by one or more computer processors. The instructions for performing operations comprise navigating the virtual medical instrument through the virtual passageway based on commands received from the user control system and evaluating one or more performance metrics for tracking the navigation of the virtual medical instrument through the virtual passageway.

Abstract: A medical system comprises a display system and a medical instrument. The system further comprises a control system communicatively coupled to the display system. The control is system configured to display image data of a patient anatomy via the display system. The control system is further configured to determine, while the medical instrument navigates the patient anatomy, that a distal portion of the medical instrument is within a threshold distance of a target location in the patient anatomy. The control system is further configured to display an anatomical boundary via the display system if the distal portion of the medical instrument is within the threshold distance of the target location, the anatomical boundary indicating a surface of an anatomical structure of the patient anatomy.

Abstract: A medical system comprises a display system, a user input device, and a control system communicatively coupled to the display system and the user input device. The control system is configured to display image data of an anatomical region via the display system, determine a target location in the anatomical region, and determine an anatomical boundary based on the target location. The anatomical boundary indicates a surface of an anatomical structure in the anatomical region. The control system is further configured to determine a trajectory zone around a path between an exit point and the target location. The control system is further configured to determine a zone boundary based on an intersection of the trajectory zone with the anatomical boundary.

Abstract: Systems, methods, apparatuses, and computer program products for creating freely explorable, dynamic and photorealistic virtual environments, reconstructing view dependent holograms in real-time, and inserting 3D virtual objects into 360 camera based navigable environment. A method, may include simultaneously capturing 360 video data and audio data from a plurality of viewpoints within a real-world environment. The method may also include preprocessing and compressing the 360 video data and the audio data into a three-dimensional representation suitable for display. The method may further include rendering a virtual environment of the real-world environment. In addition, the method may include creating a blended virtual environment by combining the captured 360 video data and the audio data with the rendered virtual environment. Further, the method may include displaying the blended virtual environment in a display apparatus of a user.

Abstract: Systems, methods, apparatuses, and computer program products for creating freely explorable, dynamic and photorealistic virtual environments, reconstructing view dependent holograms in real-time, and inserting 3D virtual objects into 360 camera based navigable environment. A method, may include simultaneously capturing 360 video data and audio data from a plurality of viewpoints within a real-world environment. The method may also include preprocessing and compressing the 360 video data and the audio data into a three-dimensional representation suitable for display. The method may further include rendering a virtual environment of the real-world environment. In addition, the method may include creating a blended virtual environment by combining the captured 360 video data and the audio data with the rendered virtual environment. Further, the method may include displaying the blended virtual environment in a display apparatus of a user.

Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.

Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.

Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.