US 12,274,622 B2
Systems and methods for orthopedic implants
Niall Patrick Casey, Carlsbad, CA (US)
Assigned to Carlsmed, Inc., Carlsbad, CA (US)
Filed by Carlsmed, Inc., Carlsbad, CA (US)
Filed on Jun. 25, 2024, as Appl. No. 18/754,123.
Application 18/754,123 is a continuation of application No. 16/699,447, filed on Nov. 29, 2019, granted, now 12,133,803.
Claims priority of provisional application 62/773,127, filed on Nov. 29, 2018.
Prior Publication US 2024/0341960 A1, Oct. 17, 2024
Int. Cl. G06T 15/00 (2011.01); A61F 2/30 (2006.01); G06F 30/10 (2020.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); A61B 34/10 (2016.01); G06F 111/16 (2020.01)
CPC A61F 2/30942 (2013.01) [G06F 30/10 (2020.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); A61B 2034/105 (2016.02); A61B 2034/108 (2016.02); A61F 2002/30948 (2013.01); A61F 2002/30952 (2013.01); A61F 2002/30962 (2013.01); A61F 2002/3097 (2013.01); A61F 2002/30971 (2013.01); A61F 2002/30985 (2013.01); G06F 2111/16 (2020.01)] 36 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
providing access, via at least one user device portal of an implant design system, to an interactive graphical user interface (GUI) having a viewable image of a virtual model of a spine of a patient, one or more user inputs for selecting display of at least one of a plurality of pre-operative metrics or a plurality of post-operative metrics associated with the virtual model,
wherein the at least one user device portal is linked to case data such that the interactive GUI provides access to at least a portion of the case data;
wherein the implant design system is configured to be used to generate, at least partially using at least one trained machine learning model, a treatment plan that includes
a pre-operative pathology of the patient, and
a planned corrected anatomy of the patient after installation of a patient-specific implant;
receiving, via a user-selectable element of the interactive GUI, approval of the treatment plan;
after the patient-specific implant designed by the implant design system is implanted in the patient, receiving, via the at least one user device portal, one or more post-operative images of the patient;
displaying, via the at least one user device portal, a post-operative review interface including
a pre-operative pathology image and associated pre-operative metrics of the patient, and
a planned corrected anatomical image and associated planned corrected metrics of the patient, wherein the planned corrected anatomical image shows the virtual model of the spine, in a corrected position, with a representation of the patient-specific implant; and
retraining the at least one trained machine learning model using at least a portion of the received one or more post-operative images indicative of an outcome of the treatment plan, wherein the at least one retrained machine learning model is configured to receive new patient data for another patient and to generate a new treatment plan for the another patient based on the new patient data.