Calibration of 2d images for digital templating using monomarker
US-2023149114-A1 · May 18, 2023 · US
US12213741B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12213741-B2 |
| Application number | US-202318461723-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 6, 2023 |
| Priority date | Oct 26, 2022 |
| Publication date | Feb 4, 2025 |
| Grant date | Feb 4, 2025 |
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Official abstract text for this publication.
Methods, apparatuses, and systems for performing robotic joint arthroscopic surgery are disclosed. The disclosed systems use a surgical robot to perform robotic joint arthroscopic surgery for soft tissue. The disclosed systems enable a surgeon or physician to perform a virtual surgical procedure in a virtual environment, storing robotic movements, workflow objects, user inputs, or a description of tools used. The surgical robot filters the stored data to determine a surgical workflow from the stored data. The surgical robot displays information describing a surgical step in the surgical workflow, enabling the surgeon or physician to optionally adjust the surgical workflow. The surgical robot stores the optional adjustments and performs the surgical procedure on a patient by executing surgical actions of the surgical workflow.
Opening claim text (preview).
We claim: 1. A surgical robot comprising: a non-transitory computer-readable storage medium storing computer instructions, which when executed by one or more computer processors cause the surgical robot to: extract information describing an arthroscopic surgical procedure from a surgical database performing the arthroscopic surgical procedure by the surgical robot; identify injured soft tissue within an anatomy of a patient using images of the anatomy obtained using an imaging sensor of the surgical robot; and perform the arthroscopic surgical procedure based on the information, wherein the computer instructions cause the surgical robot to: secure, by one or more end effectors of the surgical robot, the injured soft tissue; and suture, by the one or more end effectors, the injured locations to repair the injured soft tissue. 2. The surgical robot of claim 1 , wherein the one or more end effectors comprise at least one material that absorbs X-rays, reflects X-rays, or is transparent to X-rays to facilitate visibility of the one or more end effectors when viewed using angiography or fluoroscopy. 3. The surgical robot of claim 1 , wherein the surgical robot comprises a mechanically actuated robotic arm or lever having at least two degrees of freedom. 4. The surgical robot of claim 3 , wherein the robotic arm comprises the one or more end effectors or the imaging sensor. 5. The surgical robot of claim 1 , wherein the imaging sensor is integrated into a catheter assembly. 6. The surgical robot of claim 1 , wherein sensor data acquired by the imaging sensor is used to train a machine learning model for generating the information. 7. The surgical robot of claim 1 , wherein the imaging sensor comprises an X-ray dosimeter configured to monitor an intensity of X-rays emitted toward the patient to prevent a dose of radiation from exceeding a threshold. 8. The surgical robot of claim 7 , wherein the surgical robot is configured to prevent the dose of radiation from exceeding the threshold based on monitoring the intensity of X-rays emitted toward the patient by reducing the intensity of the X-rays. 9. The surgical robot of claim 7 , wherein the surgical robot is configured to prevent the dose of radiation from exceeding the threshold based on monitoring the intensity of X-rays emitted toward the patient by reducing a duration in which the X-rays are emitted toward the patient.
indicating steps of a surgical procedure · CPC title
using X-rays, e.g. fluoroscopy · CPC title
NMR or MRI · CPC title
Details of wrist mechanisms at distal ends of robotic arms · CPC title
having a database of accessory information, e.g. including context sensitive help or scientific articles · CPC title
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