US 12,376,733 B2
Systems, apparatuses, and methods for endoscopy
Neal Patel, Dunwoody, GA (US); Philip Zhao, Dunwoody, GA (US); and Devon Bream, Dunwoody, GA (US)
Assigned to Endoluxe Inc., Dunwoody, GA (US)
Filed by Endoluxe Inc., Dunwoody, GA (US)
Filed on Jan. 5, 2024, as Appl. No. 18/405,472.
Application 18/405,472 is a division of application No. 18/103,022, filed on Jan. 30, 2023, granted, now 11,864,730.
Application 18/103,022 is a continuation of application No. 17/572,332, filed on Jan. 10, 2022.
Prior Publication US 2024/0197148 A1, Jun. 20, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 1/00 (2006.01); A61B 1/307 (2006.01); G06T 7/00 (2017.01)
CPC A61B 1/0005 (2013.01) [A61B 1/00006 (2013.01); A61B 1/00009 (2013.01); A61B 1/000094 (2022.02); A61B 1/000096 (2022.02); A61B 1/00011 (2013.01); A61B 1/00045 (2013.01); A61B 1/00052 (2013.01); A61B 1/307 (2013.01); G06T 7/0012 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/30081 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, by a processor, an imagery from an endoscope imaging a cavity having a feature, wherein the imagery depicts the feature;
performing, by the processor, a classification for the feature while the endoscope images the cavity;
determining, by the processor, a confidence metric for the classification while the endoscope images the cavity;
determining, by the processor, a motion vector for the endoscope imaging the cavity while the endoscope images the cavity; and
taking, by the processor, an action based on the classification, the confidence metric, and the motion vector,
wherein at least one of:
(a) wherein the action includes deploying an end effector within the cavity being imaged by the endoscope;
(b) wherein the motion vector is determined based on a motion signal of a housing associated with the endoscope, wherein the housing hosts a display simultaneously presenting the imagery and at least two of the classification, the confidence metric, or the motion vector over the imagery while the endoscope images the cavity;
(c) wherein the imagery depicts at least a portion of an end effector deployed within the cavity while the endoscope images the cavity; or
(d) further comprising:
receiving, by the processor, a user input selecting a procedure identifier; and
retrieving, by the processor, a model corresponding to the procedure identifier, wherein the classification is based on the imagery being compared with the model.