Systems and methods for orthopedic implants

A system comprising:

• one or more processors;
• and
• one or more memories storing instructions that, when executed by the one or more processors, cause the system to perform a process comprising:
• providing access, via at least one user device portal of an implant design system, to an interactive graphical user interface (GUI), wherein the implant design system is configured to
• generate, using at least one trained machine learning module,
• at least a portion of a treatment plan that includes
• a pre-operative pathology of a spine of a patient, and
• a planned corrected spinal anatomy of the spine of the patient after implantation of a patient-specific spinal implant,
• design, using the at least one trained machine learning module, the patient-specific spinal implant to fit the planned corrected spinal anatomy of the patient;
• displaying, via the interactive GUI of the at least one user device portal,
• a pre-operative pathology image representing the pre-operative pathology of the spine of the patient, and
• a planned corrected anatomical image and associated planned corrected measurements of the spine of the patient, wherein the planned corrected anatomical image shows a virtual model of the planned corrected spinal anatomy of the patient and a representation of the patient-specific spinal implant virtually implanted within the spine of the patient to achieve the planned corrected spinal anatomy, wherein the interactive GUI is configured to receive user input for modifying the planned corrected spinal anatomy and the patient-specific spinal implant;
• and
• after the patient-specific spinal implant is implanted in the patient,
• receiving images of the spine of the patient associated with the treatment plan,
• measuring, using the at least one trained machine learning module, at least a portion of the patient's anatomy in the images of the spine of the patient associated with the treatment plan to obtain one or more measurements, and
• retraining the at least one trained machine learning module based on the one or more measurements.

A non-transitory computer-readable medium storing instructions that, when executed by a computing system, cause the computing system to perform operations comprising:

• providing access, via at least one user device portal of an implant design system, to an interactive graphical user interface (GUI), wherein the implant design system is configured to
• generate, using at least one trained machine learning module, at least a portion of a treatment plan that includes
• a pre-operative pathology of a spine of a patient, and
• a planned corrected spinal anatomy of the spine of the patient after implantation of a patient-specific spinal implant,
• design, using the at least one trained machine learning module, the patient-specific spinal implant to fit the planned corrected spinal anatomy of the patient;
• displaying, via the interactive GUI of the at least one user device portal,
• a pre-operative pathology image representing the pre-operative pathology of the spine of the patient, and
• a planned corrected anatomical image and associated planned corrected measurements of the spine of the patient, wherein the planned corrected anatomical image shows a virtual model of the planned corrected spinal anatomy of the patient and a representation of the patient-specific spinal implant virtually implanted within the spine of the patient to achieve the planned corrected spinal anatomy, wherein the interactive GUI is configured to receive user input for modifying the planned corrected spinal anatomy and the patient-specific spinal implant;
• and
• after the patient-specific spinal implant is implanted in the patient,
• receiving images of the spine of the patient associated with the treatment plan,
• measuring, using the at least one trained machine learning module, at least a portion of the patient's anatomy in the images of the spine of the patient associated with the treatment plan to obtain one or more measurements, and
• retraining the at least one trained machine learning module based on the one or more measurements.

A computer-implemented method comprising:

• providing access, via at least one user device portal of a treatment design system, to an interactive graphical user interface (GUI), wherein the treatment design system is configured to
• generate, using at least one trained machine learning module, at least a portion of a treatment plan that includes
• a pre-operative pathology of a spine of a patient, and
• a planned corrected spinal anatomy of the spine of the patient after implantation of a spinal implant,
• determining, using the at least one trained machine learning module, planned corrected measurements of the spine based on a virtual model of the planned corrected spinal anatomy of the patient, and
• determining, using the at least one trained machine learning module, the spinal implant configured to achieve the planned corrected spinal anatomy of the patient;
• after the spinal implant is implanted in the patient,
• receiving images of the spine of the patient associated with the treatment plan,
• measuring, using the at least one trained machine learning module, at least a portion of the patient's anatomy in the images to obtain one or more post-operative measurements;
• and
• retraining the at least one trained machine learning module based on the one or more post-operative measurements.