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PER-32 Next, the method 300 may register 308 the preliminary guide model with one or more bones of the bone model. This step 308 facilitates customization and modification of the preliminary guide model to generate a patient-specific guide model from which a patient-specific guide can be generated. The registration step 308 may combine two models and/or patient imaging data and positions both models for use in one system and/or in one model. 94 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 Next, the method 300 may design 310 a patient-specific guide model based on the preliminary guide model. The design step 310 may be completely automated or may optionally permit a user to make changes to a preliminary guide model or partially completed patient-specific guide model before the patient-specific guide model is complete. A preliminary guide model and patient-specific guide model are two examples of an instrument model. As used herein, "instrument model" refers to a model, either physical or digital, that represents an instrument, tool, apparatus, or device. Examples of an instrument model can include a cutting guide model, a resection guide model, an alignment guide model, a reduction guide model, a patient-specific tendon trajectory guide model, and the like. In one embodiment, a patient-specific guide and a patient-specific guide model may be unique to a particular patient and that patient’s anatomy and/or condition. 95 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 The method 300 may conclude by a step 312 in which patient-specific guide may be manufactured based on the patient-specific guide model. Various manufacturing tools, devices, systems, and/or techniques can be used to manufacture the patient-specific guide. 96 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 FIG. 4 illustrates an exemplary system 400 configured to generate one or more patient-specific instruments configured to facilitate surgical procedures, according to one embodiment. The system 400 may include an apparatus 402 configured to accept, review, receive or reference a bone model 404 and provide a patient-specific guide 406. In one embodiment, the apparatus 402 is a computing device. In another embodiment, the apparatus 402 may be a combination of computing devices and/or software components or a single software component such as a software application. 97 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 The apparatus 402 may include a determination module 410, a location module 420, a provision module 430, a registration module 440, a design module 450, and a manufacturing module 460. Each of which may be implemented in one or more of software, hardware, or a combination of hardware and software. 98 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 The determination module 410 determines anatomic data 412 from a bone model 404. In certain embodiments, the system 400 may not include a determination module 410 if the anatomic data is available directly from the bone model 404. In certain embodiments, the anatomic data for a bone model 404 may include data that identifies each anatomic structure within the bone model 404 and attributes about the anatomic structure. For example, the anatomic data may include measurements of the length, width, height, and density of each bone in the bone model. Furthermore, the anatomic data may include position information that identifies where each structure, such as a bone is in the bone model 404 relative to other structures, including bones. The anatomic data may be in any suitable format and may be stored separately or together with data that defines the bone model 404. 99 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 In one embodiment, the determination module 410 may use advanced computer analysis system such as image segmentation to determine the anatomic data. The determination module 410 may determine anatomic data from one more sources of medical imaging data, images, files, or the like. Alternatively, or in addition the determination module 410 may use software and/or systems that implement one or more artificial intelligence methods (e.g., machine learning and/or neural networks) for deriving, determining, or extrapolating, anatomic data from medical imaging or the bone model. In one embodiment, the determination module 410 may perform an anatomic mapping of the bone model 404 to determine each unique aspect of the intended osteotomy procedure and/or bone resection and/or bone translation. The anatomic mapping may be used to determine coordinates to be used for an osteotomy procedure, position and manner of resections to be performed either manually or automatically or using robotic surgical assistance, a width for bone cuts, an angle for bone cuts, a predetermined depth for bone cuts, dimensions and configurations for resection instruments such as saw blades, milling bit size and/or speed, saw blade depth markers, and/or instructions for automatic or robotic resection operations. 100 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 In one embodiment, the determination module 410 may use advanced computer analysis system such as image segmentation to determine the anatomic data. The determination module 410 may determine anatomic data from one more sources of medical imaging data, images, files, or the like. The determination module 410 may perform the image segmentation using 3D modeling systems and/or artificial intelligence (AI) segmentation tools. In certain embodiments, the determination module 410 is configured to identify and classify portions of bone based on a condition of the bone, based on the bone condition. Such classifications may include identifying bone stability, bone density, bone structure, bone deformity, bone structure, bone structure integrity, and the like. Accordingly, the determination module 410 may identify portions or sections or one or more bones based on a quality metric for the bone. Advantageously, that determination module 410 can identify high quality bone having a viable structure, integrity, and/or density versus lower quality bone having a nonviable structure, integrity, and/or density and a plurality of bone quality levels in between. 101 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 Accordingly, the determination module 410 can guide a surgeon to determine which areas of one or more bones of a patient are within a “soft tissue envelope” (bone of undesirable quality) as that bone relates to a particular deformity or pathology. Identifying the quality of one or more bones of the patient can aid a surgeon in determining what type of correction or adjustment is needed. For example, an ulceration that occurs due to a boney deformity can be mapped using the determination module 410 in a way that a correction can be performed to correct the deformity and reduce pressure to an area and address the structures that were causing the pressure ulceration/ skin breakdown. 102 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 In addition, the determination module 410 and/or another component of the apparatus 402 can be used to perform anatomic mapping which may include advanced medical imaging, such as the use of CT scan, ultrasound, MRI, and bone density scans can be combined to effectively create an anatomic map that determines the structural integrity of the underlying bone. 103 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 Identifying the structural integrity of the underlying bone can help in determining where bone resections can be performed to preserve the densest bone in relation to conditions such as Charcot neuropathic, arthropathy where lesser dense bone can fail and collapse. It is well documented in the literature that failure to address and remove such lesser dense bone can ultimately lead to failure of a reconstruction and associated hardware. 104 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 The present disclosure provides, by way of at least the exemplary system 400, an anatomic map that can be part of anatomic data. The anatomic map can combine structural, deformity, and bone density information and can be utilized to determine the effective density of bone and help to determine where bone should be resected in order to remove the lesser dense bone while maintaining more viable bone to aid in the planning of the osteotomy / bone resection placement. 105 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 The location module 420 determines or identifies one or more recommended locations and/or trajectory angles for deployment of an instrument, graft, and/or soft tissue based on the anatomic data 412 and/or the bone model 404. In one embodiment, the location module 420 may compare the anatomic data 412 to a general model that is representative of most patient’s anatomies and may be free from deformities or anomalies. The location module 420 can operate autonomously and/or may facilitate input and/or revisions from a user. The location module 420 may be completely automated, partially automated, or completely manual. A user may control how automated or manual the determining of the location and/or trajectory angles is. 106 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 The provision module 430 is configured to provide a preliminary guide model 438. The provision module 430 may use a variety of methods to provide the preliminary guide model. In one embodiment, the provision module 430 may generate a preliminary guide model. In the same, or an alternative embodiment, the provision module 430 may select a template guide model for a tendon (or tendon substitute) deployment procedure configured to enable locating the position and/or providing the trajectory provided by the location module 420. In one embodiment, the provision module 430 may select a template guide model from a set of template guide models (e.g., a library, set, or repository of template guide models). 107 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 The registration module 440 registers the preliminary guide model with one or more bones or other anatomical structures of the bone model 404. As explained above, registration is a process of combining medical imaging data, patient imaging data, and/or one or more models such that the preliminary guide model can be used with the bone model 404. 108 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 The design module 450 designs a patient-specific guide (or patient-specific guide model) based on the preliminary guide model. The design operation of the design module 450 may be completely automated, partially automated, or completely manual. A user may control how automated or manual the designing of the patient-specific guide (or patient-specific guide model) is. 109 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 The manufacturing module 460 may manufacture a patient-specific guide 406 using the preliminary guide model. The manufacturing module 460 may use a patient-specific guide model generated from the preliminary guide model. The manufacturing module 460 may provide the patient-specific guide model to one or more manufacturing tools and/or fabrication tool. The patient-specific guide model may be sent to the tools in any format such as an STL file or any other CAD modeling or CAM file or method for data exchange. In one embodiment, a user can adjust default parameters for the patient-specific guide such as types and/or thicknesses of materials, dimensions, and the like before the manufacturing module 460 provides the patient-specific guide model to a manufacturing tool. 110 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 Effective connection of the guide to one or more bones can ensure that surgical steps are performed in desired locations and/or with desired orientations and mitigate undesired surgical outcomes. 111 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 Figure 5 illustrates an exemplary location module 420 configured to determine a location and/or trajectory for tendon deployment, according to one embodiment. The location module 420 may factor in one or more landmarks on one or more surfaces of one or more bones of a patient of the bone model 404. The location module 420 may be completely automated, partially automated, or completely manual. A user may control how automated or manual the determination of the location is. The user may provide instructions to the location module 420 to facilitate automatic or partially automated determination of one or more locations. 112 Added by DJM Jan 2024 1/6/24, 9:48 PM
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PER-32 The location module 420 may include a location module 422. The location module 422 may be configured for automated determination of a location for tendon or tendon substitute deployment. For example, in one embodiment, the location module 422 includes an artificial intelligence or machine learning module 424. The artificial intelligence or machine learning module 424 is configured to implement one or more of a variety of artificial intelligence modules that may be trained for identifying bones in the bone model 404, determining surfaces and/or sides of one or more bones, determining landmarks (both natural and/or abnormalities), determining axes of a bone, such as a longitudinal axis and/or a horizontal axis of a bone based on anatomic data 412 and/or a bone model 404. In another embodiment, the location module 420 may receive patient imaging data, a bone model, a CAD model or the like and use these inputs to determine a location and/or trajectory in relation to one or more bones of a patient. 113 Added by DJM Jan 2024 1/6/24, 9:48 PM

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