Use of robotic surgical data for training

US2025082408A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2025082408-A1
Application numberUS-202418955604-A
CountryUS
Kind codeA1
Filing dateNov 21, 2024
Priority dateFeb 5, 2019
Publication dateMar 13, 2025
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A method for utilizing robotic surgical data for providing surgical training is disclosed. The method includes collecting, by a computing device, data related to a surgical procedure from one or more components of a computer-assisted surgical system. At least one of the one or more components is a robotically controlled surgical device. A graphical depiction representative of the surgical procedure is generated based on the collected data from the one or more components of the computer-assisted surgical system and one or more images providing a visual depiction of a patient's anatomy. A graphical user interface is output to a display device. The graphical user interface includes the graphical depiction of the surgical procedure and the collected data from the one or more components of the computer-assisted surgical system, to provide surgical training.

First claim

Opening claim text (preview).

We claim: 1 . A method for utilizing robotic surgical data for providing surgical training, the method comprising: collecting, by a computing device, data related to a surgical procedure from one or more components of a computer-assisted surgical system, wherein at least one of the one or more components is a robotically controlled surgical device; generating, by the computing device, a graphical depiction representative of the surgical procedure based on the collected data from the one or more components of the computer-assisted surgical system and one or more images providing a visual depiction of a patient's anatomy; outputting, by the computing device, a graphical user interface to a display device, the graphical user interface comprising the graphical depiction of the surgical procedure and the collected data from the one or more components of the computer-assisted surgical system, to provide surgical training; obtaining, by the computing device, a surgical plan for the surgical procedure generated by the computer-assisted surgical system based on a three-dimensional model of the patient's anatomy; determining, by the computing device, deviations from the surgical plan based on the collected data from the one or more components of the computer-assisted surgical system; and identifying, by the computing device, the deviations from the surgical plan on the graphical user interface output to the display device.

Assignees

Inventors

Classifications

  • Supervised learning · CPC title

  • Feedforward networks · CPC title

  • with visual presentation of the material to be studied, e.g. using film strip · CPC title

  • using CAD-CAM techniques or NC-techniques · CPC title

  • Use of tools · CPC title

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What does patent US2025082408A1 cover?
A method for utilizing robotic surgical data for providing surgical training is disclosed. The method includes collecting, by a computing device, data related to a surgical procedure from one or more components of a computer-assisted surgical system. At least one of the one or more components is a robotically controlled surgical device. A graphical depiction representative of the surgical proce…
Who is the assignee on this patent?
Smith & Nephew Inc, Smith & Nephew Asia Pacific Pte Ltd, Smith & Nephew Orthopaedics Ag
What technology area does this patent fall under?
Primary CPC classification A61B34/30. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu Mar 13 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).