IP Library › Granted Patent US 12,533,238
Granted Patent B2
US 12,533,238 · App. 18/376,411 · Granted Jan 27, 2026

System for manufacturing and pre-operative inspecting of patient-specific implants

Inventors: Shariq Hussain (Vista, CA); Niall Patrick Casey (Carlsbad, CA); Michael J. Cordonnier (Carlsbad, CA)
Assignee: Carlsmed, Inc.
A61F2/30942G05B19/4099A61F2002/30952A61F2002/30953G05B2219/35012
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,533,238
App. No.
18/376,411
Filed
Oct 3, 2023
Granted
Jan 27, 2026
Kind
B2
Art Unit
2119
USPC
700/98
Abstract

Systems and methods for verifying the quality of patient specific implants are disclosed. A system can generate implant data, such as design files or fabrication instructions, for manufacturing the implant. The system can manage access to the implant data based on authentication levels. Based on the determined authentication level of the user requesting access to the implant data, the system can permit the user to access some or all of the implant data. The system can perform a quality check on a manufactured implant by scanning the manufactured implant to identify any errors in the manufactured implant.

Claims (64)

1 . 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:

fabricating, using a manufacturing machine, a patient-specific orthopedic implant based on a virtual three-dimensional model of a patient-specific orthopedic implant;

scanning, via one or more scanners, the patient-specific orthopedic implant to obtain scan data associated with fabricating of the patient-specific orthopedic implant;

obtaining a manufacturing quality threshold for the patient-specific orthopedic implant based on one or more manufacturing characteristics and a surgical plan for implantation of the patient-specific orthopedic implant in a patient;

determining automatically whether the patient-specific orthopedic implant meets the manufacturing quality threshold for the patient-specific orthopedic implant based on the scan data;

in response to the patient-specific orthopedic implant not meeting the manufacturing quality threshold,

identifying at least one manufacturing adjustment for manufacturing another patient-specific orthopedic implant that meets the manufacturing quality threshold; and

in response to the patient-specific orthopedic implant meeting the manufacturing quality threshold,

approving the patient-specific orthopedic implant.

2 . The system of claim 1 , wherein the process further comprises:

manufacturing the patient-specific orthopedic implant according to an implant-manufacturing subscription.

3 . The system of claim 1 , wherein the process further comprises:

receiving a patient data set of the patient;

generating, based on the patient data set, a design of the patient-specific orthopedic implant for the patient; and

generating fabrication instructions for the manufacturing machine to manufacture the patient-specific orthopedic implant according to the design for the patient.

4 . The system of claim 1 , wherein the scan data includes at least one of lattice density, number of struts, or shape of the patient-specific orthopedic implant.

5 . The system of claim 1 , wherein

the manufacturing machine is configured to fabricate the patient-specific orthopedic implant using additive manufacturing, and

the one or more scanners are configured to obtain additive manufacturing characteristics of the patient-specific orthopedic implant.

6 . The system of claim 1 , wherein the at least one manufacturing adjustment includes at least one of adjustment of lattice density, adjustment of number of struts, or adjustment of a shape of the patient-specific orthopedic implant.

7 . A computer-implemented method of approving a patient-specific orthopedic implant, the method comprising:

fabricating, using a manufacturing machine, a patient-specific orthopedic implant based on a virtual three-dimensional model of a patient-specific orthopedic implant;

scanning, via one or more scanners, the patient-specific orthopedic implant to obtain scan data associated with fabricating of the patient-specific orthopedic implant;

obtaining a manufacturing quality threshold for the patient-specific orthopedic implant based on one or more manufacturing characteristics and a surgical plan for implantation of the patient-specific orthopedic implant in a patient;

determining automatically whether the patient-specific orthopedic implant meets the manufacturing quality threshold for the patient-specific orthopedic implant based on the scan data;

in response to the patient-specific orthopedic implant not meeting the manufacturing quality threshold,

identifying at least one manufacturing adjustment for manufacturing another patient-specific orthopedic implant that meets the manufacturing quality threshold; and

in response to the patient-specific orthopedic implant meeting the manufacturing quality threshold,

approving the patient-specific orthopedic implant.

8 . The method of claim 7 , further comprising:

manufacturing the patient-specific orthopedic implant according to an implant-manufacturing subscription.

9 . The method of claim 7 , further comprising:

receiving a patient data set of the patient;

generating, based on the patient data set, a design of the patient-specific orthopedic implant for the patient; and

generating fabrication instructions for the manufacturing machine to manufacture the patient-specific orthopedic implant according to the design for the patient.

10 . The method of claim 7 , wherein the scan data includes at least one of lattice density, number of struts, or shape of the patient-specific orthopedic implant.

11 . The method of claim 7 , wherein

the manufacturing machine is configured to fabricate the patient-specific orthopedic implant using additive manufacturing, and

the one or more scanners are configured to obtain additive manufacturing characteristics of the patient-specific orthopedic implant.

12 . The method of claim 7 , wherein the at least one manufacturing adjustment includes at least one of adjustment of lattice density, adjustment of number of struts, or adjustment of a shape of the patient-specific orthopedic implant.

13 . A non-transitory computer-readable medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for approving a patient-specific orthopedic implant, the operations comprising:

fabricating, using a manufacturing machine, a patient-specific orthopedic implant based on a virtual three-dimensional model of a patient-specific orthopedic implant;

scanning, via one or more scanners, the patient-specific orthopedic implant to obtain scan data associated with fabricating of the patient-specific orthopedic implant;

obtaining a manufacturing quality threshold, wherein the manufacturing quality threshold is based on

one or more manufacturing characteristics of the patient-specific orthopedic implant, and

a surgical plan for implantation of the patient-specific orthopedic implant in a patient;

determining automatically whether the patient-specific orthopedic implant meets the manufacturing quality threshold based on the scan data;

in response to the patient-specific orthopedic implant not meeting the manufacturing quality threshold,

identifying at least one manufacturing adjustment for manufacturing another patient-specific orthopedic implant that meets the manufacturing quality threshold; and

in response to the patient-specific orthopedic implant meeting the manufacturing quality threshold,

approving the patient-specific orthopedic implant.

14 . The non-transitory computer-readable medium of claim 13 , wherein the operations further comprise:

manufacturing the patient-specific orthopedic implant according to an implant-manufacturing subscription.

15 . The non-transitory computer-readable medium of claim 13 , wherein the operations further comprise:

receiving a patient data set of the patient;

generating, based on the patient data set, a design of the patient-specific orthopedic implant for the patient; and

generating fabrication instructions for the manufacturing machine to manufacture the patient-specific orthopedic implant according to the design for the patient.

16 . The non-transitory computer-readable medium of claim 13 , wherein the scan data includes at least one of lattice density, number of struts, or shape of the patient-specific orthopedic implant.

17 . The non-transitory computer-readable medium of claim 13 , wherein

the manufacturing machine is configured to fabricate the patient-specific orthopedic implant using additive manufacturing, and

the one or more scanners are configured to obtain additive manufacturing characteristics of the patient-specific orthopedic implant.

18 . The non-transitory computer-readable medium of claim 13 , wherein the at least one manufacturing adjustment includes at least one of adjustment of lattice density, adjustment of number of struts, or adjustment of a shape of the patient-specific orthopedic implant.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 6, 2025
From: HUSSAIN, SHARIQ; CASEY, NIALL PATRICK; CORDONNIER, MICHAEL J.
To: CARLSMED, INC.
Reel/Frame 070747/0959 →
Continuity (2)
Continuation 17951085 · Sep 22, 2022
Related Publication 20240138991A1 · May 2, 2024
References Cited (298)
US 4704686A · Aldinger · 1987 [cited by applicant]
US 4936862A · Walker et al. · 1990 [cited by applicant]
US 5431562A · Andreiko et al. · 1995 [cited by applicant]
US D420995S · Imamura · 2000 [cited by applicant]
US D436580S · Navano · 2001 [cited by applicant]
US 6315553B1 · Sachdeva · 2001 [cited by applicant]
US 6540512B1 · Sachdeva · 2003 [cited by applicant]
US 6696073B2 · Boyce et al. · 2004 [cited by applicant]
US 6772026B2 · Bradbury · 2004 [cited by applicant]
US 6932842B1 · Litschko et al. · 2005 [cited by applicant]
US 6978188B1 · Christensen · 2005 [cited by applicant]
US 6988241B1 · Guttman · 2006 [cited by applicant]
US 7174282B2 · Hollister et al. · 2007 [cited by applicant]
US 7187790B2 · Sabol et al. · 2007 [cited by applicant]
US D548242S · Viegers · 2007 [cited by applicant]
US D614191S · Takano · 2010 [cited by applicant]
US 7747305B2 · Dean et al. · 2010 [cited by applicant]
US 7756314B2 · Karau et al. · 2010 [cited by applicant]
US 7799077B2 · Lang · 2010 [cited by applicant]
US D633514S · Tokunaga · 2011 [cited by applicant]
US D656153S · Imamura · 2012 [cited by applicant]
US 8246680B2 · Betz · 2012 [cited by applicant]
US 8265949B2 · Haddad · 2012 [cited by applicant]
US 8275594B2 · Lin · 2012 [cited by applicant]
US 8337507B2 · Lang · 2012 [cited by applicant]
US 8394142B2 · Bertagnoli · 2013 [cited by applicant]
US 8457930B2 · Shroeder · 2013 [cited by applicant]
US 8532806B1 · Masson · 2013 [cited by applicant]
US 8556983B2 · Bojarski et al. · 2013 [cited by applicant]
US 8644568B1 · Hoffman · 2014 [cited by applicant]
US 8735773B2 · Lang · 2014 [cited by applicant]
US 8758357B2 · Frey · 2014 [cited by applicant]
US 8775133B2 · Schroeder · 2014 [cited by applicant]
US 8781557B2 · Dean · 2014 [cited by applicant]
US 8843229B2 · Vanasse · 2014 [cited by applicant]
US 8855389B1 · Hoffman · 2014 [cited by applicant]
US 8870889B2 · Frey · 2014 [cited by applicant]
US 9020788B2 · Lang · 2015 [cited by applicant]
US D735231S · Omiya · 2015 [cited by applicant]
US D737309S · Kito · 2015 [cited by applicant]
US 9198678B2 · Frey et al. · 2015 [cited by applicant]
US 9208558B2 · Dean · 2015 [cited by applicant]
US D757025S · Kim · 2016 [cited by applicant]
US D761842S · Johnson · 2016 [cited by applicant]
US 9411939B2 · Furrer · 2016 [cited by applicant]
US 9445907B2 · Meridew · 2016 [cited by applicant]
US 9452050B2 · Miles et al. · 2016 [cited by applicant]
US D774076S · Fuller · 2016 [cited by applicant]
US 9542525B2 · Arisoy et al. · 2017 [cited by applicant]
US 9642633B2 · Frey et al. · 2017 [cited by applicant]
US 9693831B2 · Mosnier et al. · 2017 [cited by applicant]
US 9707058B2 · Bassett · 2017 [cited by applicant]
US 9715563B1 · Schroeder · 2017 [cited by applicant]
US D797760S · Tsujimura · 2017 [cited by applicant]
US D797766S · Ibsies · 2017 [cited by applicant]
US D798312S · Tsujimura · 2017 [cited by applicant]
US 9757245B2 · O'Neil et al. · 2017 [cited by applicant]
US D798894S · Ibsies · 2017 [cited by applicant]
US 9775680B2 · Bojarski et al. · 2017 [cited by applicant]
US 9782228B2 · Mosnier et al. · 2017 [cited by applicant]
US D812628S · Okado · 2018 [cited by applicant]
US 9993341B2 · Vanasse · 2018 [cited by applicant]
US 10034676B2 · Donner · 2018 [cited by applicant]
US D825605S · Jann · 2018 [cited by applicant]
US D826977S · Nakajima · 2018 [cited by applicant]
US 10089413B2 · Wirx-Speetjens et al. · 2018 [cited by applicant]
US D841675S · Hoffman · 2019 [cited by applicant]
US 10213311B2 · Mafhouz · 2019 [cited by applicant]
US D845973S · Jaycobs · 2019 [cited by applicant]
US D845974S · Cooperman · 2019 [cited by applicant]
US D847165S · Kolbenheyer · 2019 [cited by applicant]
US D848468S · Ng · 2019 [cited by applicant]
US D849029S · Cooperman · 2019 [cited by applicant]
US D849773S · Jiang · 2019 [cited by applicant]
US 10292770B2 · Ryan · 2019 [cited by applicant]
US 10299863B2 · Grbic et al. · 2019 [cited by applicant]
US D854560S · Field · 2019 [cited by applicant]
US D854561S · Field · 2019 [cited by applicant]
US 10390958B2 · Maclennan · 2019 [cited by applicant]
US D860237S · Li · 2019 [cited by applicant]
US D860238S · Bhardwaj · 2019 [cited by applicant]
US D866577S · Eisert · 2019 [cited by applicant]
US D867379S · Ang · 2019 [cited by applicant]
US D867389S · Jamison · 2019 [cited by applicant]
US 10463433B2 · Turner et al. · 2019 [cited by applicant]
US D870762S · Mendoza · 2019 [cited by applicant]
US 10512546B2 · Kamer et al. · 2019 [cited by applicant]
US 10517681B2 · Roh et al. · 2019 [cited by applicant]
US D872117S · Kobayashi · 2020 [cited by applicant]
US D872756S · Howell · 2020 [cited by applicant]
US D874490S · Dodsworth · 2020 [cited by applicant]
US D875761S · Heffernan · 2020 [cited by applicant]
US D876454S · Knowles · 2020 [cited by applicant]
US D876462S · Li · 2020 [cited by applicant]
US D877167S · Knowles · 2020 [cited by applicant]
US D879112S · Hejazi · 2020 [cited by applicant]
US 10588589B2 · Bregman-Amitai et al. · 2020 [cited by applicant]
US 10603055B2 · Donner et al. · 2020 [cited by applicant]
US D880513S · Wang · 2020 [cited by applicant]
US D881908S · Sunil · 2020 [cited by applicant]
US D881910S · Lin · 2020 [cited by applicant]
US 10621289B2 · Schroeder · 2020 [cited by applicant]
US 10631988B2 · Arnold et al. · 2020 [cited by applicant]
US D884008S · Thornberg · 2020 [cited by applicant]
US 10646236B2 · Donner et al. · 2020 [cited by applicant]
US 10646258B2 · Donner et al. · 2020 [cited by applicant]
US 10736698B2 · Bohl · 2020 [cited by applicant]
US 10751188B2 · Guo et al. · 2020 [cited by applicant]
US D896825S · Abel · 2020 [cited by applicant]
US D896828S · Linares · 2020 [cited by applicant]
US D898054S · Everhart · 2020 [cited by applicant]
US D899438S · Crafts · 2020 [cited by applicant]
US 10806597B2 · Sournac et al. · 2020 [cited by applicant]
US 10902944B1 · Casey et al. · 2021 [cited by applicant]
US D916868S · Evangeliou · 2021 [cited by applicant]
US D916879S · Mitsumori · 2021 [cited by applicant]
US D918253S · Choe · 2021 [cited by applicant]
US 11000334B1 · Young · 2021 [cited by applicant]
US D921675S · Kmak · 2021 [cited by applicant]
US D921677S · Kmak · 2021 [cited by applicant]
US D921687S · Kmak · 2021 [cited by applicant]
US D924909S · Nasu · 2021 [cited by applicant]
US D925567S · Hayamizu · 2021 [cited by applicant]
US D927528S · Heisler · 2021 [cited by applicant]
US 11083586B2 · Cordonnier · 2021 [cited by applicant]
US 11112770B2 · Roh et al. · 2021 [cited by applicant]
US D933692S · Smith · 2021 [cited by applicant]
US 11166764B2 · Roh et al. · 2021 [cited by applicant]
US D937870S · Pinto · 2021 [cited by applicant]
US D937876S · Harvey · 2021 [cited by applicant]
US D938461S · Hoffman · 2021 [cited by applicant]
US D938986S · Grossberg · 2021 [cited by applicant]
US D940178S · Ang · 2022 [cited by applicant]
US D946022S · Nuttbrown · 2022 [cited by applicant]
US D946023S · Nuttbrown · 2022 [cited by applicant]
US D946024S · Vogler-Ivashchanka · 2022 [cited by applicant]
US D946616S · Tsai · 2022 [cited by applicant]
US D958151S · Casey et al. · 2022 [cited by applicant]
US 11376054B2 · Kemper et al. · 2022 [cited by applicant]
US 11376076B2 · Casey et al. · 2022 [cited by applicant]
US 11432943B2 · Casey et al. · 2022 [cited by applicant]
US 11439514B2 · Casey et al. · 2022 [cited by applicant]
US 11497559B1 · Roh et al. · 2022 [cited by applicant]
US 11806241B1 · Hussain et al. · 2023 [cited by applicant]
US 20040104512A1 · Eidenschink · 2004 [cited by applicant]
US 20050234555A1 · Sutton et al. · 2005 [cited by applicant]
US 20050273170A1 · Navarro et al. · 2005 [cited by applicant]
US 20070272747A1 · Woods et al. · 2007 [cited by applicant]
US 20070276369A1 · Allard et al. · 2007 [cited by applicant]
US 20070276501A1 · Betz · 2007 [cited by applicant]
US 20080227047A1 · Lowe · 2008 [cited by applicant]
US 20090062739A1 · Anderson · 2009 [cited by applicant]
US 20100191088A1 · Anderson et al. · 2010 [cited by applicant]
US 20100324692A1 · Uthgenannt · 2010 [cited by applicant]
US 20110196451A1 · Hill · 2011 [cited by applicant]
US 20120150243A9 · Crawford et al. · 2012 [cited by applicant]
US 20120322018A1 · Lowe · 2012 [cited by applicant]
US 20130323669A1 · Lowe · 2013 [cited by applicant]
US 20140072608A1 · Karagkiozaki · 2014 [cited by applicant]
US 20140074438A1 · Furrer · 2014 [cited by applicant]
US 20140081659A1 · Nawana et al. · 2014 [cited by applicant]
US 20140086780A1 · Miller · 2014 [cited by applicant]
US 20140100886A1 · Woods · 2014 [cited by applicant]
US 20140164022A1 · Reed · 2014 [cited by applicant]
US 20140263674A1 · Cerveny · 2014 [cited by applicant]
US 20140277487A1 · Davenport et al. · 2014 [cited by applicant]
US 20140350614A1 · Frey · 2014 [cited by applicant]
US 20150079533A1 · Lowe · 2015 [cited by applicant]
US 20150089590A1 · Krishnan et al. · 2015 [cited by applicant]
US 20150105891A1 · Golway et al. · 2015 [cited by applicant]
US 20150199488A1 · Falchuk · 2015 [cited by applicant]
US 20150213225A1 · Amarasingham · 2015 [cited by applicant]
US 20150324490A1 · Page · 2015 [cited by applicant]
US 20150328004A1 · Mafhouz · 2015 [cited by applicant]
US 20150332018A1 · Rosen · 2015 [cited by applicant]
US 20160001039A1 · Armour et al. · 2016 [cited by applicant]
US 20160015465A1 · Steines et al. · 2016 [cited by applicant]
US 20160030067A1 · Frey et al. · 2016 [cited by applicant]
US 20160074048A1 · Pavlovskaia · 2016 [cited by applicant]
US 20160081810A1 · Reiley et al. · 2016 [cited by applicant]
US 20160117817A1 · Seel · 2016 [cited by applicant]
US 20160143744A1 · Bojarski et al. · 2016 [cited by applicant]
US 20160184054A1 · Lowe · 2016 [cited by applicant]
US 20160210374A1 · Mosnier et al. · 2016 [cited by applicant]
US 20160217268A1 · Otto · 2016 [cited by applicant]
US 20160242857A1 · Scholl · 2016 [cited by applicant]
US 20160300026A1 · Bogoni et al. · 2016 [cited by applicant]
US 20160354039A1 · Soto et al. · 2016 [cited by applicant]
US 20160354213A1 · Cowan · 2016 [cited by applicant]
US 20160378919A1 · McNutt et al. · 2016 [cited by applicant]
US 20170000566A1 · Gordon · 2017 [cited by applicant]
US 20170014169A1 · Dean · 2017 [cited by applicant]
US 20170020679A1 · Maclennan · 2017 [cited by applicant]
US 20170035514A1 · Fox et al. · 2017 [cited by applicant]
US 20170061375A1 · Laster · 2017 [cited by applicant]
US 20170068792A1 · Reiner · 2017 [cited by applicant]
US 20170112548A1 · Alamin et al. · 2017 [cited by applicant]
US 20170135706A1 · Frey et al. · 2017 [cited by applicant]
US 20170143494A1 · Mahfouz · 2017 [cited by applicant]
US 20170143831A1 · Varanasi et al. · 2017 [cited by applicant]
US 20170196499A1 · Hunter · 2017 [cited by applicant]
US 20170216047A1 · Hawkes et al. · 2017 [cited by applicant]
US 20170220740A1 · D'Urso · 2017 [cited by applicant]
US 20170252107A1 · Turner et al. · 2017 [cited by applicant]
US 20170262595A1 · Vorhis · 2017 [cited by applicant]
US 20170340447A1 · Mahfouz · 2017 [cited by applicant]
US 20170354510A1 · O'Neil et al. · 2017 [cited by applicant]
US 20170367645A1 · Klinder · 2017 [cited by applicant]
US 20180008349A1 · Gillman · 2018 [cited by applicant]
US 20180113992A1 · Eltorai et al. · 2018 [cited by applicant]
US 20180116727A1 · Caldwell et al. · 2018 [cited by applicant]
US 20180168499A1 · Bergold · 2018 [cited by applicant]
US 20180168731A1 · Reid · 2018 [cited by applicant]
US 20180185075A1 · She · 2018 [cited by applicant]
US 20180233222A1 · Daley · 2018 [cited by applicant]
US 20180233225A1 · Experton · 2018 [cited by applicant]
US 20180250075A1 · Cho · 2018 [cited by applicant]
US 20180303552A1 · Ryan · 2018 [cited by applicant]
US 20180303616A1 · Bhattacharyya et al. · 2018 [cited by applicant]
US 20180308569A1 · Luellen · 2018 [cited by applicant]
US 20180338841A1 · Miller et al. · 2018 [cited by applicant]
US 20190065685A1 · Pickover · 2019 [cited by applicant]
US 20190069956A1 · Ryan et al. · 2019 [cited by applicant]
US 20190099221A1 · Schmidt et al. · 2019 [cited by applicant]
US 20190201106A1 · Siemionow · 2019 [cited by applicant]
US 20190262084A1 · Roh et al. · 2019 [cited by applicant]
US 20190266597A1 · Mohtar · 2019 [cited by applicant]
US 20190328929A1 · Kugler et al. · 2019 [cited by applicant]
US 20190333622A1 · Levin · 2019 [cited by applicant]
US 20190354693A1 · Yoon · 2019 [cited by applicant]
US 20190380792A1 · Poltaretskyi et al. · 2019 [cited by applicant]
US 20190388131A1 · Mehl et al. · 2019 [cited by applicant]
US 20200021570A1 · Lin · 2020 [cited by applicant]
US 20200078180A1 · Casey et al. · 2020 [cited by applicant]
US 20200085509A1 · Roh et al. · 2020 [cited by applicant]
US 20200170802A1 · Casey et al. · 2020 [cited by applicant]
US 20200258605A1 · Blechman · 2020 [cited by applicant]
US 20200261156A1 · Schmidt · 2020 [cited by applicant]
US 20200289288A1 · Müller et al. · 2020 [cited by applicant]
US 20200315708A1 · Mosnier et al. · 2020 [cited by applicant]
US 20210059822A1 · Casey et al. · 2021 [cited by applicant]
US 20210064605A1 · Balint · 2021 [cited by applicant]
US 20210145519A1 · Mosnier et al. · 2021 [cited by applicant]
US 20210169576A1 · Ryan et al. · 2021 [cited by applicant]
US 20210192759A1 · Lang · 2021 [cited by applicant]
US 20210210189A1 · Casey et al. · 2021 [cited by applicant]
US 20210287770A1 · Anderson · 2021 [cited by applicant]
US 20210382457A1 · Roh et al. · 2021 [cited by applicant]
US 20220000625A1 · Cordonnier · 2022 [cited by applicant]
US 20220006642A1 · Maj et al. · 2022 [cited by applicant]
US 20220013211A1 · Steinberg et al. · 2022 [cited by applicant]
US 20220039965A1 · Casey et al. · 2022 [cited by applicant]
US 20220047402A1 · Casey et al. · 2022 [cited by applicant]
US 20220110686A1 · Roh et al. · 2022 [cited by applicant]
US 20220160405A1 · Casey et al. · 2022 [cited by applicant]
US 20220160518A1 · Casey et al. · 2022 [cited by applicant]
US 20220211507A1 · Simoes et al. · 2022 [cited by applicant]
US 20220387191A1 · Cordonnier · 2022 [cited by applicant]
US 20220401150A1 · Cordonnier · 2022 [cited by applicant]
US 20220409140A1 · Cordonnier · 2022 [cited by applicant]
US 20230000560A1 · Roh et al. · 2023 [cited by applicant]
US 20230014384A1 · Cordonnier · 2023 [cited by applicant]
US 20230023440A1 · Casey et al. · 2023 [cited by applicant]
US 20230034731A1 · Cordonnier · 2023 [cited by applicant]
US 20230052263A1 · Casey et al. · 2023 [cited by applicant]
CN 104318009A · 2015 [cited by applicant]
CN 104353121A · 2015 [cited by applicant]
CN 204468348U · 2015 [cited by applicant]
CN 105796214A · 2016 [cited by applicant]
CN 106202861 · 2016 [cited by applicant]
CN 107220933 · 2017 [cited by applicant]
CN 108670506A · 2018 [cited by applicant]
CN 110575289A · 2019 [cited by applicant]
CN 111281613A · 2020 [cited by applicant]
CN 112155792A · 2021 [cited by applicant]
CN 113643790 · 2021 [cited by applicant]
EP 3120796A1 · 2017 [cited by applicant]
WO 9507509A1 · 1995 [cited by applicant]
WO 2004110309A2 · 2004 [cited by applicant]
WO 2010151564A1 · 2010 [cited by applicant]
WO 2012154534A1 · 2012 [cited by applicant]
WO 2014180972A2 · 2014 [cited by applicant]
WO 2016172694A1 · 2016 [cited by applicant]
WO 2017116346A1 · 2017 [cited by applicant]
WO 2018203100A1 · 2018 [cited by applicant]
WO 2019112917A1 · 2019 [cited by applicant]
WO 2019148154A1 · 2019 [cited by applicant]
WO 2019165152A1 · 2019 [cited by applicant]
WO 2019241167A1 · 2019 [cited by applicant]
WO 2020055874A1 · 2020 [cited by applicant]
WO 2022045956A1 · 2022 [cited by applicant]
WO 2023034405A1 · 2023 [cited by applicant]
Endo, Kenji et al. “Measurement of whole spine sagittal alignment using the SLOT radiography of the SONIALVISION safire series clinical application.” Medical Now, No. 78; Aug. 2015, 4 pages. [cited by applicant]
International Search Report and Written Opinion for International Patent Application No. PCT/US21/60074, mailed Mar. 17, 2022, 21 pages. [cited by applicant]
Materialise Mimics, “Efficiently turn scans into accurate virtual 3D models,” Retrieved on Nov. 1, 2019 at www.materialize.com/en/medical/software/mimics, 1 page. [cited by applicant]
Pimenta, Dr. Luiz, “Current Surgical Strategies to Restore Proper Sagittal Alignment,” Journal of Spine 2015, vol. 4, Issue 4, 2 pages. [cited by applicant]
ISA: United States Patent and Trademark Office, International Search Report and Written Opinion for International Patent Application No. PCT/US23/33404, mailed Nov. 1, 2023, 11 pages. [cited by applicant]
U.S. Appl. No. 15/958,409 for Ryan, filed Apr. 21, 2017. [cited by applicant]
Cited By (1)
US 12,671,719