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US Patent 11864730 Systems, apparatuses, and methods for endoscopy

Patent 11864730 was granted and assigned to Endoluxe, Inc. on January, 2024 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
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Endoluxe, Inc.
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Current Assignee
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Endoluxe, Inc.
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118647301
Patent Inventor Names
Neal Patel1
Philip Zhao1
Devon Bream1
Date of Patent
January 9, 2024
1
Patent Application Number
181030221
Date Filed
January 30, 2023
1
Patent Citations
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US Patent D710856 Slideable cover which includes biometric verification means for a tablet device
1
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US Patent 8928746 Endoscope having disposable illumination and camera module
1
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US Patent 10051166 Light device and system for providing light to optical scopes
1
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US Patent 8944596 Digital-based medical devices
1
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US Patent 7442167 Integrated visualization system
1
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US Patent 7986342 Multi-purpose imaging apparatus and adaptors therefor
1
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US Patent 8029439 Disposable attachable light source unit for an endoscope
1
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US Patent 8604753 Method of distributing to a user a remedy for inadequate battery life in a handheld device
1
...
Patent Primary Examiner
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Aaron B Fairchild
1
CPC Code
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A61B 1/00045
1
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A61B 1/00009
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A61B 1/00052
1
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A61B 1/000096
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A61B 1/000094
1
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A61B 1/0005
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A61B 1/307
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Patent abstract

A portable endoscopic system comprising an imaging unit for an endoscopic procedure. The imaging unit has an imaging coupler for receiving imaging information from an imaging assembly of an endoscope; a display integrated into a housing of the imaging unit; an image processing unit for processing the received imaging information into images of a time series and to displaying the image in real-time; a motion sensor configured to detect a motion of the housing; and a detection processing unit. The detection processing unit is configured to classify at least one anatomical feature in each image of the time series based on an artificial intelligence classifier; determine a confidence metric of the classification; determine a motion vector based on the detected motion; and display, concurrently with the corresponding image, the classification of the at least one anatomical feature, the determined confidence metric, and the determined motion vector.

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