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US Patent 10169875 Navigation of tubular networks

Patent 10169875 was granted and assigned to AURIS HEALTH, INC. on January, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
AURIS HEALTH, INC.
AURIS HEALTH, INC.
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Current Assignee
AURIS HEALTH, INC.
AURIS HEALTH, INC.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
101698750
Patent Inventor Names
Prasanth Jeevan0
David S. Mintz0
Gehua Yang0
Matthew Joseph Leotta0
Yiliang Xu0
Atiyeh Ghoreyshi0
Charles V. Stewart0
Date of Patent
January 1, 2019
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Patent Application Number
156692580
Date Filed
August 4, 2017
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Patent Citations
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US Patent 10022192 Automatically-initialized robotic systems for navigation of luminal networks
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US Patent 10016900 Surgical robotic arm admittance control
Patent Citations Received
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US Patent 11497568 Systems and methods for docking medical instruments
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US Patent 11504195 Active drive mechanism for simultaneous rotation and translation
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US Patent 11503986 Robotic systems and methods for navigation of luminal network that detect physiological noise
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US Patent 12114943 Remote catheter manipulator
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US Patent 11464587 Surgical robotics system
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US Patent 11464591 Robot-assisted driving systems and methods
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US Patent 11464536 Automated image-guided tissue resection and treatment
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US Patent 11472030 Robotic system with indication of boundary for robotic arm
...
Patent Primary Examiner
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James M Pontius
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Patent abstract

Methods and apparatuses provide improved navigation through tubular networks such as lung airways by providing improved estimation of location and orientation information of a medical instrument (e.g., an endoscope) within the tubular network. Various input data such as image data, EM data, and robot data are used by different algorithms to estimate the state of the medical instrument, and the state information is used to locate a specific site within a tubular network and/or to determine navigation information for what positions/orientations the medical instrument should travel through to arrive at the specific site. Probability distributions together with confidence values are generated corresponding to different algorithms are used to determine the medical instrument's estimated state.

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