IP Library Granted Patent US 12,220,175
Granted Patent B2
US 12,220,175 · App. 18/465,039 · Granted Feb 11, 2025

Surgical system with AR/VR training simulator and intra-operative physician image-guided assistance

Inventors: Jeffrey Roh (Seattle, WA); Justin Esterberg (Mesa, AZ)
Assignee: NavLab Holdings II, LLC
A61B34/10G16H20/40G16H50/20G16H50/50G16H50/70A61B2034/105A61B2034/107A61B34/20A61B2034/2046A61B34/25
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 12,220,175
App. No.
18/465,039
Granted
Feb 11, 2025
Kind
B2
Abstract

Technologies for providing assistance to a surgeon during a surgical procedure are disclosed. An example method includes identifying a medical condition of a patient and recommending surgical procedures for treatment. An optimal surgical procedure is then determined based on correlations between the medical condition of the patient and outcomes of previous surgical procedures for other patients previously suffering from the medical condition. A 3D model of the patient may be created using current images of an affected area of the patient. Successively, a surgeon is trained using a Virtual Reality simulation. During the training, the surgeon may be allowed to provide annotations. Further, the recommended surgical procedures are based on medical data of the patient, including medical images.

Claims (78)

1. A computer-implemented method comprising:

identifying at least one surgical procedure to be performed on a patient having an identified condition;

determining a plurality of surgical paths for accessing one or more anatomical features for treating the identified condition, wherein the plurality of surgical paths are determined based on a set of comparative patients;

for each of the plurality of surgical paths, determining an adverse event score based on correlated attributes of adverse event data of the comparative patients;

selecting one of the surgical paths for treating the identified condition based on a ranking of the adverse event scores;

producing a digital simulation of one or more surgical steps performed via the selected surgical path, wherein the digital simulation displays information for at least one potential adverse event associated with the selected surgical path, wherein the at least one potential adverse event is based on the adverse event data of the comparative patients, wherein the digital simulation includes at least one of a virtual reality (VR) simulation or an augmented reality (AR) simulation;

receiving user-inputted pre-operative annotations for avoiding the at least one potential adverse event; and

after receiving the user-inputted pre-operative annotations, displaying, via an electronic display viewable by a user,

intraoperative images for an image-guided surgical procedure being performed on the patient, and

at least a portion of the received user-inputted pre-operative annotations associated with the displayed intraoperative images to assist the user in avoiding the at least one potential adverse event during the image-guided surgical procedure.

2. The method of claim 1 , further comprising performing one or more virtual surgical steps in the digital simulation using surgical practice equipment, wherein the surgical practice equipment includes:

a simulation display configured to display the one or more anatomical features; and

a virtual force apparatus including a physical manipulation device configured to be manipulated by a physician to perform the one or more virtually surgical steps on the displayed one or more anatomical features.

3. The method of claim 1 , further comprising identifying the set of comparative patients by:

generating a three-dimensional (3D) model of a region of the patient;

generating comparative three dimensional (3D) models based on comparative data of one or more other patients;

identifying one or more similarities between the 3D model and the comparative 3D models; and

selecting some of the other patients to be comparative patients based on the one or more similarities.

4. The method of claim 1 , further comprising determining the set of comparative patients by:

comparing virtual dimensional (3D) model of region of the patient and comparative virtual dimensional (3D) models of one or more other patients; and

selecting the comparative other patients based on the comparison.

5. The method of claim 1 , further comprising timestamping the user-inputted pre-operative annotations in the digital simulation, wherein the user-inputted pre-operative annotations include at least one of audio annotations, video annotations, or text annotations.

6. The method of claim 1 , wherein the digital simulation is performed using equipment configured to simulate at least one of cutting, suturing, coagulating, or performing an organ-specific surgical step.

7. The method of claim 1 , further comprising:

receiving the user-inputted pre-operative annotations via digital simulation equipment displaying the digital simulation; and

applying time stamps to the user-inputted pre-operative annotations to correlate the user-inputted pre-operative annotations to one or more surgical steps to synchronize the user-inputted pre-operative annotations to the image-guided surgical procedure.

8. The method of claim 1 , wherein the digital simulation includes virtually simulating one or more surgical steps performed on a virtual model of the one or more anatomical features.

9. A system for presenting annotations to a surgeon for an image-guided surgical procedure, the 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:

identifying at least one surgical procedure to be performed on a patient having an identified condition;

determining a plurality of surgical paths for accessing one or more anatomical features for treating the identified condition, wherein the plurality of surgical paths are determined based on a set of comparative patients;

for each of the plurality of surgical paths, determining an adverse event score based on correlated attributes of adverse event data of the comparative patients;

selecting one of the surgical paths for treating the identified condition based on a ranking of the adverse event scores;

producing a digital simulation of one or more surgical steps performed via the selected surgical path, wherein the digital simulation displays information for at least one potential adverse event associated with the selected surgical path, wherein the at least one potential adverse event is based on the adverse event data of the comparative patients, wherein the digital simulation includes at least one of a virtual reality (VR) simulation or an augmented reality (AR) simulation;

receiving user-inputted pre-operative annotations for avoiding the at least one potential adverse event; and

after receiving the user-inputted pre-operative annotations, displaying, via an electronic display viewable by a user,

intraoperative images for an image-guided surgical procedure being performed on the patient, and

at least a portion of the received user-inputted pre-operative annotations associated with the displayed intraoperative images to assist the user in avoiding the at least one potential adverse event during the image-guided surgical procedure.

10. The system of claim 9 , further comprising performing one or more virtual surgical steps in the digital simulation using surgical practice equipment, wherein the surgical practice equipment includes:

a simulation display configured to display the one or more anatomical features, and

a virtual force apparatus including a physical manipulation device configured to be manipulated by a physician to perform the one or more virtually surgical steps on the displayed one or more anatomical features.

11. The system of claim 9 , wherein the process further comprises identifying the set of comparative patients by:

generating a three-dimensional (3D) model of a region of the patient;

generating comparative three dimensional (3D) models based on comparative data of one or more other patients;

identifying one or more similarities between the 3D model and the comparative 3D models; and

selecting some of the other patients to be comparative patients based on the one or more similarities.

12. The system of claim 9 , wherein the process further comprises determining the set of comparative patients by:

comparing virtual dimensional (3D) model of region of the patient and comparative virtual dimensional (3D) models of one or more other patients; and

selecting the comparative other patients based on the comparison.

13. The system of claim 9 , wherein the process further comprises timestamping the user-inputted pre-operative annotations in the digital simulation, wherein the user-inputted pre-operative annotations include at least one of audio annotations, video annotations, or text annotations.

14. The system of claim 9 , wherein the digital simulation is performed using equipment configured to simulate at least one of cutting, suturing, coagulating, or performing an organ-specific surgical step.

15. The system of claim 9 , wherein the process further comprises:

receiving the user-inputted pre-operative annotations via digital simulation equipment displaying the digital simulation; and

applying time stamps to the user-inputted pre-operative annotations to correlate the user-inputted pre-operative annotations to one or more surgical steps to synchronize the user-inputted pre-operative annotations to the image-guided surgical procedure.

16. The system of claim 9 , wherein the digital simulation includes virtually simulating one or more surgical steps performed on a virtual model of the one or more anatomical features.

17. A non-transitory computer-readable medium storing instructions that, when executed by a computing system, cause the computing system to perform operations comprising:

identifying at least one surgical procedure to be performed on a patient having an identified condition;

determining a plurality of surgical paths for accessing one or more anatomical features for treating the identified condition, wherein the plurality of surgical paths are determined based on a set of comparative patients;

for each of the plurality of surgical paths, determining an adverse event score based on correlated attributes of adverse event data of the comparative patients;

selecting one of the surgical paths for treating the identified condition based on a ranking of the adverse event scores;

producing a digital simulation of one or more surgical steps performed via the selected surgical path, wherein the digital simulation displays information for at least one potential adverse event associated with the selected surgical path, wherein the at least one potential adverse event is based on the adverse event data of the comparative patients, wherein the digital simulation includes at least one of a virtual reality (VR) simulation or an augmented reality (AR) simulation;

receiving user-inputted pre-operative annotations for avoiding the at least one potential adverse event; and

after receiving the user-inputted pre-operative annotations, displaying, via an electronic display viewable by a user,

intraoperative images for an image-guided surgical procedure being performed on the patient, and

at least a portion of the received user-inputted pre-operative annotations associated with the displayed intraoperative images to assist the user in avoiding the at least one potential adverse event during the image-guided surgical procedure.

18. The non-transitory computer-readable medium of claim 17 , wherein the operations further comprise performing one or more virtual surgical steps in the digital simulation using surgical practice equipment, wherein the surgical practice equipment includes:

a simulation display configured to display the one or more anatomical features, and

a virtual force apparatus including a physical manipulation device configured to be manipulated by a physician to perform the one or more virtually surgical steps on the displayed one or more anatomical features.

19. The non-transitory computer-readable medium of claim 17 , further comprising identifying the set of comparative patients by:

generating a three-dimensional (3D) model of a region of the patient;

generating comparative three dimensional (3D) models based on comparative data of one or more other patients;

identifying one or more similarities between the 3D model and the comparative 3D models; and

selecting some of the other patients to be comparative patients based on the one or more similarities.

20. The non-transitory computer-readable medium of claim 17 , wherein the operations further comprise determining the set of comparative patients by:

comparing virtual dimensional (3D) model of region of the patient and comparative virtual dimensional (3D) models of one or more other patients; and

selecting the comparative other patients based on the comparison.

21. The non-transitory computer-readable medium of claim 17 , wherein the operations further comprise timestamping the user-inputted pre-operative annotations in the digital simulation, wherein the user-inputted pre-operative annotations include at least one of audio annotations, video annotations, or text annotations.

Continuity (5)
Continuation 17833635 · Jun 6, 2022
Continuation 16012464 · Jun 19, 2018
Provisional Application 62528480 · Jul 4, 2017
Provisional Application 62521537 · Jun 19, 2017
Related Publication 20240065768A1 · Feb 29, 2024
References Cited (21)
US 5664109A · Johnson · 1997 [cited by examiner]
US 9886873B2 · Patrickson · 2018 [cited by examiner]
US 10806518B2 · Amanatullah · 2020 [cited by examiner]
US 10991070B2 · Saget · 2021 [cited by examiner]
US 11000334B1 · Young · 2021 [cited by examiner]
US 11350994B2 · Roh · 2022 [cited by examiner]
US 11450237B2 · Grant · 2022 [cited by examiner]
US 11786312B2 · Roh et al. · 2023 [cited by applicant]
US 20070214013A1 · Silverman · 2007 [cited by examiner]
US 20080085499A1 · Horvath · 2008 [cited by examiner]
US 20090164302A1 · Jung · 2009 [cited by examiner]
US 20100153147A1 · Angell · 2010 [cited by examiner]
US 20120296675A1 · Silverman · 2012 [cited by examiner]
US 20140051986A1 · Zhao · 2014 [cited by examiner]
US 20160338685A1 · Nawana · 2016 [cited by examiner]
US 20170083666A1 · Biancalana · 2017 [cited by examiner]
US 20170108930A1 · Banerjee · 2017 [cited by examiner]
AU 2012289973B2 · 2017 [cited by applicant]
CA 2980618A1 · 2016 [cited by applicant]
Card, R., et al. Institute for Clinical Systems Improvement “Perioperative protocol.” Updated Mar. 2014, 125 p. [cited by applicant]
Ji, S., et al. “Group-wise evaluation and comparison of white matter fiber strain and maximum principal strain in sports-related concussion.” Journal of Neurotrauma, 32(7), 441-454. (Year: 2015). [cited by applicant]