The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 09, 2024

Filed:

Jan. 30, 2023
Applicant:

Endoluxe Inc., Dunwoody, GA (US);

Inventors:

Neal Patel, Dunwoody, GA (US);

Philip Zhao, Dunwoody, GA (US);

Devon Bream, Dunwoody, GA (US);

Assignee:

Endoluxe Inc., Allentown, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 1/00 (2006.01); G16H 20/40 (2018.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); A61B 1/307 (2006.01); A61B 5/06 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
A61B 1/0005 (2013.01); A61B 1/00052 (2013.01); A61B 1/000094 (2022.02); A61B 1/000096 (2022.02); A61B 1/307 (2013.01); A61B 5/067 (2013.01); G06T 7/0014 (2013.01); G16H 20/40 (2018.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G06T 2207/10016 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30081 (2013.01);
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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