IP Library › Granted Patent US 12,599,441
Granted Patent B2
US 12,599,441 · App. 18/377,168 · Granted Apr 14, 2026

Torque sensor with decision support and related systems and methods

Inventor: Ido Zucker (Tel Aviv, IL)
Assignee: Mazor Robotics Ltd.
A61B34/25A61B17/1655A61B17/86A61B17/8875A61B34/10G01L5/26A61B2017/00123A61B2034/256A61B2090/066
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 12,599,441
App. No.
18/377,168
Granted
Apr 14, 2026
Kind
B2
Abstract

A surgical system includes a power tool that generates torque; a torque sensor for measuring a torque characteristic of the power tool; a user interface; at least one processor; and a memory. The memory stores instructions for execution by the at least one processor that, when executed, cause the at least one processor to: receive torque data from the torque sensor, the torque data corresponding to the measured torque characteristic; evaluate the torque data; and execute a predetermined action based on the evaluation.

Claims (37)

1 . A device, comprising:

a torque sensor for measuring a torque characteristic during a drilling, tapping, or screw insertion surgical procedure;

a processor; and

a memory storing instructions for execution by the processor that, when executed, cause the processor to:

receive data from the torque sensor corresponding to the measured torque characteristic;

cause the drilling, tapping, or screw insertion surgical procedure to stop when the measured torque characteristic satisfies a predetermined criterion;

automatically generate a recommendation based on at least one of the measured torque characteristic and the predetermined criterion, wherein the recommendation comprises a description of a proposed adjustment to a surgical plan;

cause the recommendation to be displayed via a user interface;

receive a user input in response to the recommendation; and

resume the drilling, tapping, or screw insertion surgical procedure based on the user input.

2 . The device of claim 1 , wherein the recommendation corresponds to changing one of a tap size, a drilling diameter, or a screw size.

3 . The device of claim 1 , wherein the recommendation corresponds to adding or removing a screw from a preoperative plan.

4 . The device of claim 1 , wherein the predetermined criterion is based on historical data corresponding to measured torque characteristics and patient outcomes.

5 . The device of claim 1 , wherein the recommendation comprises a change in a number of screws used in the surgical plan.

6 . The device of claim 5 , wherein the number of screws used in the surgical plan is decreased according to the recommendation.

7 . The device of claim 5 , wherein the recommendation indicates a change to the surgical plan to utilize a different screw.

8 . The device of claim 5 , wherein the recommendation indicates an instruction to re-drill a previously drilled hole.

9 . The device of claim 5 , wherein the recommendation indicates an instruction to re-tap a previously tapped hole.

10 . The device of claim 1 , wherein the torque characteristic comprises a peak torque, and the instructions enable the processor to evaluate the peak torque relative to a predetermined threshold.

11 . The device of claim 10 , wherein when the peak torque exceeds the predetermined threshold, the recommendation comprises stopping a power tool.

12 . The device of claim 1 , wherein the torque characteristic comprises an accumulated torque, and the instructions enable the processor to compare the accumulated torque with a predetermined threshold.

13 . The device of claim 1 , wherein the data comprises first torque data and second torque data indicating whether or not a first screw and a second screw were seated according to the surgical plan.

14 . A system, comprising:

a processor; and

a memory storing instructions for execution by the processor that, when executed, enable the processor to:

receive, from a torque sensor, data corresponding to a measured torque characteristic during a drilling, tapping, or screw insertion surgical procedure;

pause, when the measured torque characteristic satisfied a predetermined criterion, the drilling, tapping, or screw insertion surgical procedure;

automatically generate a recommendation based on at least one of the measured torque characteristic and the predetermined criterion, wherein the recommendation comprises a description of an adjustment to a surgical plan; and

cause the recommendation to be displayed to a user interface.

15 . The system of claim 14 , wherein the recommendation corresponds to changing one of a tap size, a drilling diameter, or a screw size.

16 . The system of claim 14 , wherein the memory stores additional instructions for execution by the processor that, when executed, further enable the processor to:

receive a user input in response to the recommendation; and

cause the drilling, tapping, or screw insertion surgical procedure to resume based on the user input.

17 . The system of claim 14 , wherein the recommendation comprises a change in a number of screws used in the surgical plan.

18 . The system of claim 14 , wherein the measured torque characteristic comprises a peak torque, and the instructions enable the processor to evaluate the peak torque relative to a predetermined threshold.

19 . The system of claim 14 , wherein the data comprises first torque data and second torque data indicating whether or not a first screw and a second screw were seated according to the surgical plan.

20 . The system of claim 14 , wherein the measured torque characteristic comprises an accumulated torque, and the instructions enable the processor to compare the accumulated torque with a predetermined threshold.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 5, 2023
From: ZUCKER, IDO
To: MAZOR ROBOTICS LTD.
Reel/Frame 065140/0628 →
Continuity (2)
Division 16903596 · Jun 17, 2020
Related Publication 20240024045A1 · Jan 25, 2024
References Cited (55)
US 3968473A · Patton et al. · 1976 [cited by applicant]
US 3975954A · Barnich · 1976 [cited by applicant]
US 4006608A · Vuceta · 1977 [cited by examiner]
US 5734113A · Vogt et al. · 1998 [cited by applicant]
US 5810828A · Lightman et al. · 1998 [cited by applicant]
US 6132435A · Young · 2000 [cited by applicant]
US 6978846B2 · Kawai · 2005 [cited by examiner]
US 8048115B2 · Winslow et al. · 2011 [cited by applicant]
US 8092457B2 · Oettinger et al. · 2012 [cited by applicant]
US 8821493B2 · Anderson · 2014 [cited by applicant]
US 8894654B2 · Anderson · 2014 [cited by applicant]
US 9204885B2 · McGinley · 2015 [cited by applicant]
US 9265551B2 · Kust et al. · 2016 [cited by applicant]
US 9283048B2 · Kostrzewski et al. · 2016 [cited by applicant]
US 11806095B2 · Zucker · 2023 [cited by applicant]
US 20050045353A1 · Kawai · 2005 [cited by examiner]
US 20060243464A1 · Heinz · 2006 [cited by applicant]
US 20070119063A1 · Kim · 2007 [cited by applicant]
US 20120310247A1 · Hsieh · 2012 [cited by applicant]
US 20140165796A1 · Gauthier et al. · 2014 [cited by applicant]
US 20140260837A1 · Gauthier et al. · 2014 [cited by applicant]
US 20150201918A1 · Kumar · 2015 [cited by examiner]
US 20150351819A1 · Gustafson · 2015 [cited by examiner]
US 20150366624A1 · Kostrzewski et al. · 2015 [cited by applicant]
US 20160151120A1 · Kostrzewski et al. · 2016 [cited by applicant]
US 20160354162A1 · Yen et al. · 2016 [cited by applicant]
US 20170151025A1 · Mewes et al. · 2017 [cited by applicant]
US 20170348037A1 · Sexson · 2017 [cited by examiner]
US 20180110573A1 · Kostrzewski · 2018 [cited by applicant]
US 20180289432A1 · Kostrzewski et al. · 2018 [cited by applicant]
US 20180325608A1 · Kang et al. · 2018 [cited by applicant]
US 20190029697A1 · Anderson et al. · 2019 [cited by applicant]
US 20190269469A1 · Busch, Jr. et al. · 2019 [cited by applicant]
US 20200038085A1 · Sexson · 2020 [cited by examiner]
US 20200038108A1 · Chou · 2020 [cited by examiner]
US 20210347020A1 · Friberg · 2021 [cited by examiner]
CA 2408333 · 2001 [cited by applicant]
CN 110200694 · 2019 [cited by applicant]
EP 0912140 · 2004 [cited by applicant]
KR 102007430 · 2019 [cited by applicant]
WO WO2007056255 · 2007 [cited by applicant]
WO WO2013050851 · 2013 [cited by applicant]
WO WO2017214194 · 2017 [cited by applicant]
Hu et al. “State Recognition of Pedicle Drilling With Force Sensing in a Robotic Spinal Surgical System,” IEEE/ASME Transactions on Mechatronics, Feb. 2014, vol. 19, No. 1, pp. 357-365. [cited by applicant]
Jin et al. “Design and control strategy of robotic spinal surgical system,” The 2011 IEEE/ICME International Conference on Complex Medical Engineering, May 22-25, 2011 (abstract only). [cited by applicant]
Lee et al. “An Implementation of Sensor-Based Force Feedback in a Compact Laparoscopic Surgery Robot,” ASAIO Journal, Jan. 2009, vol. 55, No. 1, pp. 83-85. [cited by applicant]
Tian et al. “A Robot-Assisted Surgical System Using a Force-Image Control Method for Pedicle Screw Insertion,” PLOS ONE, Jan. 2014, vol. 9, No. 1, article e86346, 10 pages. [cited by applicant]
Wang et al. “Force-based control of a compact spinal milling robot,” The International Journal of Medical Robotics and Computer Assisted Surgery, Jun. 2010, vol. 6, No. 2, pp. 178-185 (abstract only). [cited by applicant]
International Search Report and Written Opinion for International (PCT) Patent Application No. PCT/US2021/033850, dated Sep. 2, 2021, 11 pages. [cited by applicant]
Restriction Requirement for U.S. Appl. No. 16/903,596, dated Sep. 8, 2022, 7 pages. [cited by applicant]
Official Action for U.S. Appl. No. 16/903,596, dated Oct. 14, 2022, 8 pages. [cited by applicant]
Official Action for U.S. Appl. No. 16/903,596, dated Feb. 1, 2023, 13 pages. [cited by applicant]
Notice of Allowance for U.S. Appl. No. 16/903,596, dated Jul. 11, 2023, 5 pages. [cited by applicant]
Extended Search Report for European Patent Application No. 21826994.2, dated May 24, 2024, 7 pages. [cited by applicant]
Official Action with English Translation for China Patent Application No. 202180042642.6, dated Jan. 12, 2026, 9 pages. [cited by applicant]