US 12,478,382 B2
Endoscopic image analysis and control component of an endoscopic system
Michael C. Holmstrom, South Jordan, UT (US)
Assigned to Kunnskap Medical, LLC, South Jordan, UT (US)
Filed by Kunnskap Medical, LLC, South Jordan, UT (US)
Filed on Jun. 23, 2023, as Appl. No. 18/213,544.
Application 18/213,544 is a continuation of application No. 17/395,463, filed on Aug. 6, 2021, granted, now 11,730,491.
Claims priority of provisional application 63/063,827, filed on Aug. 10, 2020.
Prior Publication US 2023/0346392 A1, Nov. 2, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 17/16 (2006.01); A61B 1/00 (2006.01); A61B 1/015 (2006.01); A61B 1/04 (2006.01); A61B 1/045 (2006.01); A61B 1/317 (2006.01); A61B 17/00 (2006.01); A61B 18/14 (2006.01); A61B 18/22 (2006.01); A61M 13/00 (2006.01); G06T 7/00 (2017.01); G16H 30/20 (2018.01); H04N 7/18 (2006.01); H04N 23/52 (2023.01); H04N 23/56 (2023.01); H04N 23/61 (2023.01); H04N 23/74 (2023.01); A61B 18/00 (2006.01); G05D 7/06 (2006.01); G05D 16/20 (2006.01); H04N 23/50 (2023.01)
CPC A61B 17/1604 (2013.01) [A61B 1/00006 (2013.01); A61B 1/00013 (2013.01); A61B 1/0005 (2013.01); A61B 1/015 (2013.01); A61B 1/04 (2013.01); A61B 1/045 (2013.01); A61B 1/317 (2013.01); A61B 17/00234 (2013.01); A61B 18/148 (2013.01); A61B 18/22 (2013.01); A61M 13/003 (2013.01); G06T 7/0012 (2013.01); G16H 30/20 (2018.01); H04N 7/183 (2013.01); H04N 23/52 (2023.01); H04N 23/56 (2023.01); H04N 23/61 (2023.01); H04N 23/74 (2023.01); A61B 2017/00367 (2013.01); A61B 2018/00589 (2013.01); A61B 2018/00595 (2013.01); A61B 2018/00982 (2013.01); A61B 2217/005 (2013.01); A61B 2217/007 (2013.01); A61B 2218/002 (2013.01); G05D 7/0676 (2013.01); G05D 16/2066 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/10152 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30168 (2013.01); H04N 23/555 (2023.01)] 22 Claims
OG exemplary drawing
 
1. A component of an endoscopic system comprising:
one or more circuits to:
receive image data of a present view of an area to be addressed, the image data provided by an endoscope configured to access an area to be addressed;
process the image data, utilizing a neural network, to determine a characteristic of the present view, the neural network configured by:
receiving previous image data comprising previous endoscopic images;
receiving indications of characteristics of the previous images; and
updating, using machine learning and based on the previous endoscopic images and the indications, the neural network to automatically determine the characteristic of the present view; and
adjust operation of a medium management system according to the characteristic of the present view, the medium management system to manage a viewing medium at an area to be addressed.