Abstract: According to some embodiments, the process includes the steps of: a) taking a sagittal preoperative x-ray of the vertebral column of the patient to be treated, extending from the cervical vertebrae to the femoral heads; b) on that x-ray, identifying points on S1, S2, T12 et C7; c) depicting, on the said x-ray, curved segments beginning at the center of the plate of S1 et going to the center of the plate of C7; e) identifying, on that x-ray, the correction(s) to be made to the vertebral column, including the identification of posterior osteotomies to make; f) pivoting portions of said x-ray relative to other portions of that x-ray, according to osteotomies to be made; g) performing, on said x-ray, a displacement of the sagittal curvature segment extending over the vertebral segment to be corrected; h) from a straight vertebral rod (TV), producing the curvature of that rod according to the shape of said sagittal curvature segment in said displacement position.

Abstract: A surgical planning and assessment system is disclosed. The system may include a computing system having a processor, a data store, and a patient specific planning and analysis module. The system may be configured to store a patient specific target plan including a digital representation of a spinal rod having a target geometry and transform the digital representation into a curved line. The system may generate a spline data set comprising a plurality of spline segments that are sequentially linked to one another. The system may adjust, iteratively, each spline segment until the plurality of spline segments approximate the curved line. The system may generate a digital file comprising drawings for manufacturing a spinal rod based on the plurality of spline segments. In various embodiments, each spline segment may be defined by a corresponding arc or a corresponding line extending between a corresponding starting point and a corresponding ending point.

Abstract: Certain systems, methods, and devices described herein are configured to dynamically model a patient area for surgery and/or other treatment, dynamically identify one or more features and/or characteristics thereon such as the length and/or elasticity of the posterior longitudinal ligament (PLL), dynamically allow modification of the model, dynamically limit and/or assist in modification of the model, and/or dynamically generate guidelines for generation of patient-specific implants and/or treatment kits for a specific patient.

Abstract: A method and system for producing a curvature of a rod of vertebral osteosynthesis material designed to support a vertebral column of a patient is provided. A production unit receives a model defining the curvature of the rod. The curvature of the rod is based on a pre-operative X-ray of the vertical column and defined by a simulated correction to be applied to the lumbar segment to be treated, a deduced curved segment representing the curvature of the rod based at least in part on one or more of a lumbar lordosis or a first curvature above a repositioned apex point and the second curvature below the repositioned apex point, and a translated curved segment representative of the deduced curved segment being translated away from a mean line of the vertebral column. The production unit uses computer aided design to produce the rod.

Abstract: The disclosure herein relate to systems, methods, and devices for developing patient-specific spinal treatments, operations, and procedures. In some embodiments, systems, methods, and devices described herein for developing patient-specific spinal treatments, operations, and procedures can comprise an iterative virtuous cycle. The iterative virtuous cycle can further comprise pre-operative, intra-operative, and post-operative techniques or processes. For example, the iterative virtuous cycle can comprise imaging analysis, case simulation, implant production, case support, data collection, machine learning, and/or predictive modeling. One or more techniques or processes of the iterative virtuous cycle can be repeated.

Abstract: A surgical planning and assessment system is disclosed. The system may include a computing system having a processor, a data store, a patient specific planning and analysis module, and a display. The system may be configured to access a database storing a plurality of possible surgical plans. The computing system may store a target surgical plan including a plurality of patient specific inputs including at least one preoperative medical image of a spine of a target patient and analyze the target surgical plan to determine a predicted alignment of the spine of the target patient. The computing system may develop a plurality of predictive models including a predicted alignment of the spine of the target patient based on the target surgical plan and suggest at least one alternative surgical plan with respect to the target surgical plan.

Abstract: A surgical planning and assessment system is disclosed. The system may include a computing system having a processor, a data store, and a patient specific planning and analysis module. The system may be configured to store a patient specific target plan including a digital representation of a spinal rod having a target geometry and transform the digital representation into a curved line. The system may generate a spline data set comprising a plurality of spline segments that are sequentially linked to one another. The system may adjust, iteratively, each spline segment until the plurality of spline segments approximate the curved line. The system may generate a digital file comprising drawings for manufacturing a spinal rod based on the plurality of spline segments. In various embodiments, each spline segment may be defined by a corresponding arc or a corresponding line extending between a corresponding starting point and a corresponding ending point.

Abstract: A method and system for producing a curvature of a rod of vertebral osteosynthesis material designed to support a vertebral column of a patient is provided. A production unit receives a model defining the curvature of the rod. The curvature of the rod is based on a pre-operative X-ray of the vertical column and defined by a simulated correction to be applied to the lumbar segment to be treated, a deduced curved segment representing the curvature of the rod based at least in part on one or more of a lumbar lordosis or a first curvature above a repositioned apex point and the second curvature below the repositioned apex point, and a translated curved segment representative of the deduced curve segment being translated away from a mean line of the vertebral column. The production unit uses computer aided design to produce the rod.

Abstract: Disclosed herein are systems and methods for triggering patient analytic services for a medical provider. A system includes a memory and at least one processor coupled to the memory and configured to maintain one or more records associated with a subject. The processor is further configured to receive one or more medical images related to the subject from an image server and generate a computer-readable symbol that encodes a link for accessing the planning system. The link includes a planning-system identifier and a subject identifier. The processor is further configured to generate a planning image based on information associated with the subject, embed the generated computer-readable symbol in the planning image, and transmit the planning image to the image server.

Abstract: The disclosure herein relate to systems, methods, and devices for developing patient-specific spinal treatments, operations, and procedures. In some embodiments, systems, methods, and devices described herein for developing patient-specific spinal treatments, operations, and procedures can comprise an iterative virtuous cycle. The iterative virtuous cycle can further comprise pre-operative, intra-operative, and post-operative techniques or processes. For example, the iterative virtuous cycle can comprise imaging analysis, case simulation, implant production, case support, data collection, machine learning, and/or predictive modeling. One or more techniques or processes of the iterative virtuous cycle can be repeated.

Abstract: According to some embodiments, the process includes the steps of: a) taking a sagittal preoperative x-ray of the vertebral column of the patient to be treated, extending from the cervical vertebrae to the femoral heads; b) on that x-ray, identifying points on S1, S2, T12 et C7; c) depicting, on the said x-ray, curved segments beginning at the center of the plate of S1 et going to the center of the plate of C7; e) identifying, on that x-ray, the correction(s) to be made to the vertebral column, including the identification of posterior osteotomies to make; f) pivoting portions of said x-ray relative to other portions of that x-ray, according to osteotomies to be made; g) performing, on said x-ray, a displacement of the sagittal curvature segment extending over the vertebral segment to be corrected; h) from a straight vertebral rod (TV), producing the curvature of that rod according to the shape of said sagittal curvature segment in said displacement position.

Abstract: The disclosure herein relates to systems, methods, and devices for developing patient-specific spinal implants, treatments, operations, and/or procedures. In some embodiments, systems, methods, and devices described herein can comprise using artificial intelligence, machine learning, and/or predictive modeling to predict the outcome of a spinal surgery, one or more parameters of a spine of a patient after spinal surgery, for example after implantation of a spinal rod which can be patient-specific, and/or one or more parameters of one or more recommended patient-specific spinal rods. Furthermore, in some embodiments, systems, methods, and devices described herein can comprise intraoperative tracking for tracking and/or suggesting improvements during spinal surgery based on a pre-operatively determined surgical plan, for example in real-time or substantially real-time. In addition, in some embodiments, systems, methods, and devices described herein can comprise screw planning prior to spinal surgery.

Abstract: A surgical planning and assessment system is disclosed. The system may include a computing system having a processor, a data store, a patient specific planning and analysis module, and a display. The system may be configured to access a database storing a plurality of possible surgical plans. The computing system may store a target surgical plan including a plurality of patient specific inputs including at least one preoperative medical image of a spine of a target patient and analyze the target surgical plan to determine a predicted alignment of the spine of the target patient. The computing system may develop a plurality of predictive models including a predicted alignment of the spine of the target patient based on the target surgical plan and suggest at least one alternative surgical plan with respect to the target surgical plan.

Abstract: A surgical planning and assessment system is disclosed. The system may include a computing system having a processor, a data store, and a patient specific planning and analysis module. The system may be configured to store a patient specific target plan including a digital representation of a spinal rod having a target geometry and transform the digital representation into a curved line. The system may generate a spline data set comprising a plurality of spline segments that are sequentially linked to one another. The system may adjust, iteratively, each spline segment until the plurality of spline segments approximate the curved line. The system may generate a digital file comprising drawings for manufacturing a spinal rod based on the plurality of spline segments. In various embodiments, each spline segment may be defined by a corresponding arc or a corresponding line extending between a corresponding starting point and a corresponding ending point.

Abstract: According to some embodiments, the process includes the steps of: a) taking a sagittal preoperative x-ray of the vertebral column of the patient to be treated, extending from the cervical vertebrae to the femoral heads; b) on that x-ray, identifying points on S1, S2, T12 et C7; c) depicting, on the said x-ray, curved segments beginning at the center of the plate of S1 et going to the center of the plate of C7; e) identifying, on that x-ray, the correction(s) to be made to the vertebral column, including the identification of posterior osteotomies to make; f) pivoting portions of said x-ray relative to other portions of that x-ray, according to osteotomies to be made; g) performing, on said x-ray, a displacement of the sagittal curvature segment extending over the vertebral segment to be corrected; h) from a straight vertebral rod (TV), producing the curvature of that rod according to the shape of said sagittal curvature segment in said displacement position.

Abstract: Certain systems, methods, and devices described herein are configured to dynamically model a patient area for surgery and/or other treatment, dynamically identify one or more features and/or characteristics thereon such as the length and/or elasticity of the posterior longitudinal ligament (PLL), dynamically allow modification of the model, dynamically limit and/or assist in modification of the model, and/or dynamically generate guidelines for generation of patient-specific implants and/or treatment kits for a specific patient.

Abstract: A method and system for automatically generating a pre-operative plan is disclosed that may include using a computing device to receive, from an electronic device associated with a physician, an identification message comprising identifying information associated with a target patient for a surgical procedure. The computing device may retrieve medical information associated with the target patient based on the identifying information, and apply machine learning models to identify a predicted condition of the target patient and to predict a surgical approach and one or more surgical components to use and may generate a surgical plan that comprises an indication of the surgical approach and an indication of the one or more surgical components.

Abstract: Systems and methods are provided to plan a spinal correction surgery. The method includes measuring parameters of a spine in a two-dimensional (2D) spinal image including a thoracic Cobb angle and a thoracic kyphosis (TK) and transforming the 2D image to a three-dimensional (3D), spinal image representation. The transforming includes performing segmentation of spine elements in the 2D image, and applying a formula based on the thoracic Cobb angle and the TK to the spine elements. The method includes identifying a TK goal having a post-operative TK value to selected spine elements, transforming a gap of the spine elements representative of a difference between the pre-operative TK in 3D spinal image representation and the TK goal to create a 3D post-operative spinal image representation, and determining a first rod design based on the 3D post-operative spinal image representation to achieve the post-operative TK value in the spine elements.

Abstract: The disclosure herein relate to systems, methods, and devices for developing patient-specific spinal treatments, operations, and procedures. In some embodiments, systems, methods, and devices described herein for developing patient-specific spinal treatments, operations, and procedures can comprise an iterative virtuous cycle. The iterative virtuous cycle can further comprise pre-operative, intra-operative, and post-operative techniques or processes. For example, the iterative virtuous cycle can comprise imaging analysis, case simulation, implant production, case support, data collection, machine learning, and/or predictive modeling. One or more techniques or processes of the iterative virtuous cycle can be repeated.

Abstract: According to some embodiments, the process includes the steps of: a) taking a sagittal preoperative x-ray of the vertebral column of the patient to be treated, extending from the cervical vertebrae to the femoral heads; b) on that x-ray, identifying points on S1, S2, T12 et C7; c) depicting, on the said x-ray, curved segments beginning at the center of the plate of S1 et going to the center of the plate of C7; e) identifying, on that x-ray, the correction(s) to be made to the vertebral column, including the identification of posterior osteotomies to make; f) pivoting portions of said x-ray relative to other portions of that x-ray, according to osteotomies to be made; g) performing, on said x-ray, a displacement of the sagittal curvature segment extending over the vertebral segment to be corrected; h) from a straight vertebral rod (TV), producing the curvature of that rod according to the shape of said sagittal curvature segment in said displacement position.