US 12,376,907 B2
Patient-specific medical systems, devices, and methods
Niall Patrick Casey, Carlsbad, CA (US); Michael J. Cordonnier, Carlsbad, CA (US); Justin Esterberg, Mercer Island, WA (US); and Jeffrey Roh, Seattle, WA (US)
Assigned to CARLSMED, INC., Carlsbad, CA (US)
Filed by Carlsmed, Inc., Carlsbad, CA (US)
Filed on Dec. 16, 2024, as Appl. No. 18/983,335.
Application 18/983,335 is a continuation of application No. 18/783,369, filed on Jul. 24, 2024.
Application 18/783,369 is a continuation of application No. 18/139,907, filed on Apr. 26, 2023, granted, now 12,137,983, issued on Nov. 12, 2024.
Application 18/139,907 is a continuation of application No. 17/838,727, filed on Jun. 13, 2022, granted, now 11,678,938, issued on Jun. 20, 2023.
Application 17/838,727 is a continuation of application No. 17/342,439, filed on Jun. 8, 2021, granted, now 11,376,076, issued on Jul. 5, 2022.
Application 17/342,439 is a continuation of application No. PCT/US2021/012065, filed on Jan. 4, 2021.
Application PCT/US2021/012065 is a continuation in part of application No. 17/124,822, filed on Dec. 17, 2020, granted, now 11,854,683, issued on Dec. 26, 2023.
Application PCT/US2021/012065 is a continuation in part of application No. 16/735,222, filed on Jan. 6, 2020, granted, now 10,902,944, issued on Jan. 26, 2021.
Prior Publication US 2025/0114145 A1, Apr. 10, 2025
Int. Cl. A61B 34/10 (2016.01); A61B 34/30 (2016.01); A61F 2/44 (2006.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01)
CPC A61B 34/10 (2016.02) [A61B 34/30 (2016.02); A61F 2/44 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); A61B 2034/102 (2016.02); A61B 2034/105 (2016.02); A61B 2034/108 (2016.02); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30012 (2013.01)] 28 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
performing a digital surgical simulation for each of a plurality of candidate patient-specific surgical interventions that each provide a corresponding patient-specific anatomical correction, the digital surgical simulations each including a corresponding predictive model of patient anatomy for a particular time after the corresponding candidate patient-specific interventions, wherein the digital surgical simulations are performed at least in part by at least one trained machine learning module trained using reference patient data;
displaying surgical simulation data from at least one of the digital surgical simulations, wherein the surgical simulation data includes the corresponding predictive model of patient anatomy for user review;
receiving a selection of one of the plurality of candidate patient-specific surgical interventions; and
designing one or more patient-specific implants based on the selected candidate patient-specific surgical intervention, wherein the one or more patient-specific implants are configured to achieve a patient-specific anatomical correction associated with the selected candidate patient-specific surgical intervention when implanted in a patient with the patient anatomy.