SYSTEMS AND METHODS FOR ORTHOPEDIC IMPLANTS

1 . A computer-implemented method comprising:

receiving one or more pre-operative digital images of a first patient;

determining a surgery outcome for the first patient in which an implant has been implanted, wherein the surgery outcome is based on the received one or more pre-operative digital images and post-operative surgical data of the first patient;

selecting at least one of the pre-operative digital images and at least a portion of the post-operative surgical data as a training item for retraining at least one machine learning model;

using the at least one machine learning model, which has been retrained using the training item, to determine a planned anatomical correction for a second patient; and

design a virtual model of a patient-specific implant for the second patient to achieve the planned anatomical correction.

2 . The computer-implemented method of claim 1 , further comprising:

generating, via a surgical platform with surgery planning software, at least one of

a set of pre-corrective pathologic anatomy metrics for the second patient, or

a set of post-corrections corrected anatomy metrics for the second patient.

3 . The computer-implemented method of claim 1 , further comprising generating, via a surgical platform with surgery planning software, a displayable visual comparison of a pre-operative pathology of the second patient and a planned corrected pathology of the second patient.

4 . The computer-implemented method of claim 1 , wherein the post-operative surgical data includes one or more post-operative images of the first patient.

5 . The computer-implemented method of claim 1 , wherein the training item includes configuration information for the implant.

6 . The computer-implemented method of claim 1 , further comprising generating a score for the surgery outcome based on at least one of surgeon feedback, a recovery level of the first patient, or a recovery time for the first patient, and wherein the training item includes the score.

7 . The computer-implemented method of claim 1 , further comprising using computer-aided design (CAD) software to generate the virtual model of the patient-specific implant, wherein the virtual model is a two-dimensional CAD model or a three-dimensional CAD model.

8 . The computer-implemented method of claim 1 , further comprising:

generating a virtual anatomical model of the planned anatomical correction for the second patient; and

using the virtual anatomical model to design the virtual model of the patient-specific implant for the second patient.

9 . The computer-implemented method of claim 1 , wherein the at least one of the pre-operative digital images includes a set of X-ray images of the first patient.

10 . A computer-implemented method comprising:

receiving one or more pre-operative digital images of a first patient;

determining a surgery outcome for the first patient in which an implant has been implanted, wherein the surgery outcome is based on the one or more pre-operative digital images and post-operative surgical data of the first patient;

using at least one retrained machine learning model to determine a planned anatomical correction for a second patient, wherein the at least one retrained machine learning model has been retrained using at least one of the pre-operative digital images and at least a portion of the post-operative surgical data of the first patient; and

generating a patient-specific treatment plan for the second patient to achieve the planned anatomical correction.

11 . The computer-implemented method of claim 10 , further comprising:

determining a score for the surgery outcome based on at least one of surgeon feedback, a recovery level of the first patient, or a recovery time of the first patient; and

generating a training item based on the score, the at least one of the pre-operative digital images, and the at least the portion of the post-operative surgical data, and wherein the at least one retrained machine learning model is retrained using the training item prior to generating the patient-specific treatment plan.

12 . The computer-implemented method of claim 10 , further comprising:

using computer-aided design (CAD) software to generate a virtual model of the implant designed to achieve the planned anatomical correction for the second patient, and wherein the virtual model is a two-dimensional CAD model or a three-dimensional CAD model.

13 . The computer-implemented method of claim 10 , further comprising:

generating a virtual anatomical model of the planned anatomical correction for the second patient; and

using the virtual anatomical model to design a virtual model of a patient-specific implant for achieving the planned anatomical correction.

14 . The computer-implemented method of claim 10 , wherein the patient-specific treatment plan includes a virtual implant configuration for review and approval by a user.

15 . The computer-implemented method of claim 10 , further comprising:

generating, via a surgical platform with planning software, at least one of

a set of pre-corrective anatomy metrics for the second patient, or

a set of post-corrections corrected anatomy metrics for the second patient.

16 . The computer-implemented method of claim 10 , further comprising generating, via a surgical platform with planning software, a displayable visual comparison of a pre-operative pathology of the second patient and a planned corrected pathology of the second patient according to the patient-specific treatment plan.

17 . The computer-implemented method of claim 10 , wherein the post-operative surgical data includes one or more post-operative images of the first patient.

18 . The computer-implemented method of claim 10 , wherein the post-operative surgical data includes at least one of surgeon feedback for the first patient, a recovery level of the first patient, or a recovery time of the first patient.