IP Library Granted Patent US 12,408,985
Granted Patent B2
US 12,408,985 · App. 17/718,749 · Granted Sep 9, 2025

Surgical planning guidance and learning

Inventors: Carinne Granchi (Weston, FL); Jason Otto (Plantation, FL); Thomas M. Coon (Redding, CA); Michael Ballash (Fort Lauderdale, FL); Tamas Erdos (Fort Lauderdale, FL)
Assignee: MAKO Surgical Corp.
A61B34/10A61B34/25A61B2034/104A61B2034/105A61B2034/108A61B34/20A61B34/30
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Quick Facts
Patent No.
US 12,408,985
App. No.
17/718,749
Granted
Sep 9, 2025
Kind
B2
Abstract

A method for improving the development of an initial surgical plan includes receiving input information, developing an initial surgical plan based upon the input information, and allowing a user to customize the initial surgical plan by providing input related to modifications to the initial surgical plan. The method further includes storing information related to the modifications to the initial surgical plan and using the stored information to develop a subsequent initial surgical plan based on the modifications.

Claims (31)

1. A method comprising:

determining planned implant placements for a plurality of surgical procedures using a planning algorithm;

recording virtual pre-operative user modifications of the planned implant placements;

generating an altered planning algorithm based on the virtual pre-operative user modifications; and

planning an implant placement for a subsequent surgical procedure using the altered planning algorithm; and

operating a surgical robot based on the implant placement planned for the subsequent surgical procedure.

2. The method of claim 1 , wherein the planning algorithm and the altered planning algorithm output different implant positions relative to a bone model given a same set of inputs.

3. The method of claim 1 , wherein the planned implant placements are positions of virtual implant models relative to virtual bone models.

4. The method of claim 1 , wherein the virtual pre-operative user modifications comprise rotations of virtual implant models relative to virtual bone models.

5. The method of claim 1 , wherein operating the surgical robot based on the implant placement for the subsequent surgical procedure.

6. The method of claim 1 , further comprising providing transparency into operation of the altered planning algorithm by guiding, via display of a graphical user interface on a screen and based on the implant placement for the subsequent surgical procedure, a user to provide a sequence of inputs to the graphical user interface that result in the graphical user interface displaying movement of a virtual implant from an initial placement to the implant placement for the subsequent surgical procedure.

7. The method of claim 1 , comprising using a characteristic of a patient's joint as an input to the altered planning algorithm.

8. The method of claim 1 , comprising using a presence of a type of bone structure as an input to the altered planning algorithm.

9. The method of claim 1 , comprising using a physical characteristic of a patient as an input to the altered planning algorithm.

10. The method of claim 1 , comprising storing the virtual pre-operative user modifications from a plurality of planning systems.

11. A method comprising:

recording pre-operative user inputs that adjust planned placements of virtual implants relative to virtual bone models corresponding to a plurality of surgical procedures;

updating an automated planning algorithm based on the pre-operative user inputs;

automatically providing a planned implant position for a particular patient by executing the updated, automated planning algorithm on input information relating to the particular patient; and

causing an actual implant to be installed in the particular patient in the planned implant position.

12. The method of claim 11 , wherein the pre-operative user inputs are provided to a plurality of planning systems.

13. The method of claim 11 , wherein a subset of the pre-operative user inputs cause rotations and translations of the virtual implants.

14. The method of claim 11 , further comprising providing transparency into operation of the automated planning algorithm by guiding, by displaying a graphical user interface on a screen and based on the planned implant position for the particular patient, a user to provide inputs to the graphical user interface that result in the graphical user interface displaying the planned implant position.

15. The method of claim 11 , wherein causing the actual implant to be installed in the particular patient comprises controlling a surgical robot to guide a resection that prepares the particular patient to receive the actual implant in the planned implant position.

16. The method of claim 11 , wherein the input information indicates a physical characteristic or bone structure of the particular patient.

17. One or more non-transitory memory devices storing instructions that, when executed by one or more processors, causes the one or more processors to perform operations comprising:

storing pre-operative user inputs that adjust planned placements of virtual implants relative to virtual bone models corresponding to a plurality of surgical procedures;

updating an automated planning algorithm as a function of the pre-operative user inputs; and

automatically providing a planned implant position for a particular patient by executing the updated, automated planning algorithm on input information relating to the particular patient, wherein providing the planned implant position comprises providing transparency into operation of the automated planning algorithm by guiding, via a graphical user interface on a screen and based on the planned implant position for the particular patient, a user to provide inputs to the graphical user interface that result in moving of a virtual implant to the planned implant position.

18. The one or more non-transitory memory devices of claim 17 , wherein the pre-operative user inputs are received via a plurality of planning systems.

19. The one or more non-transitory memory devices of claim 17 , wherein the input information relates to a bone structure of the particular patient.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 27, 2023
From: GRANCHI, CARINNE; OTTO, JASON; COON, THOMAS M.; BALLASH, MICHAEL; ERDOS, TAMAS
To: MAKO SURGICAL CORP.
Reel/Frame 062513/0808 →
Continuity (4)
Continuation 15894461 · Feb 12, 2018
Continuation 14145619 · Dec 31, 2013
Provisional Application 61747765 · Dec 31, 2012
Related Publication 20220233243A1 · Jul 28, 2022
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