Methods and systems to automate surgical interventions
An imaging system for viewing a surgical site, the imaging system including a system controller configured to: receive and process video images of the surgical site captured by an endoscopic camera coupled to an endoscope to detect at least one video signature corresponding to at least one condition that interferes with a quality of the video images; and in response to detecting the at least one video signature corresponding to the at least one condition that interferes with the quality of the video images, control a fluid system to clean a tip of the endoscope based on at least one learned preference that was learned by the system controller from user action over time.
1 . An imaging system for viewing a surgical site, the imaging system comprising a system controller configured to:
receive and process video images of the surgical site captured by an endoscopic camera coupled to an endoscope to detect at least one video signature corresponding to at least one condition that interferes with a quality of the video images; and
in response to detecting the at least one video signature corresponding to the at least one condition that interferes with the quality of the video images, control a fluid system to clean a tip of the endoscope based on at least one learned preference that was learned by the system controller from user action over time.
2 . The system of claim 1 , wherein the at least one learned preference is associated with a particular user.
3 . The system of claim 1 , wherein the at least one learned preference is associated with a particular procedure.
4 . The system of claim 1 , wherein detecting the at least one video signature corresponding to the at least one condition that interferes with the quality of the video images comprises detecting a presence of blood in the video images.
5 . The system of claim 4 , wherein detecting the presence of blood in the video images comprises detecting the presence of blood on the tip of the endoscope.
6 . The system of claim 1 , wherein controlling the fluid system to clean the tip of the endoscope based on the at least one learned preference comprises controlling an amount of fluid to clean the tip of the endoscope.
7 . The system of claim 1 , wherein the system controller is configured to learn the at least one learned preference by determining occurrence of the user action after automatic control by the system controller.
8 . The system of claim 7 , wherein the user action comprises manual adjustment of the fluid system.
9 . The system of claim 8 , wherein controlling the fluid system to clean the tip of the endoscope based on the at least one learned preference that was learned by the system controller from the user action over time comprises controlling the fluid system to a setting corresponding to the manual adjustment.
10 . The system of claim 1 , wherein the system controller is communicatively connected to a camera control unit from which the system controller receives the video images.
11 . The system of claim 1 , wherein the system comprises the endoscopic camera.
12 . The system of claim 1 , comprising a video enhancer for enhancing at least some of the video images based on the detection of the at least one video signature corresponding to the at least one condition that interferes with the quality of the video images.
13 . A method for controlling a surgical system during a surgical procedure based on imaging of a surgical site, comprising, at a controller of the surgical system:
receiving and processing video images of the surgical site captured by an endoscopic camera coupled to an endoscope to detect at least one video signature corresponding to at least one condition that interferes with a quality of the video images; and
in response to detecting the at least one video signature corresponding to the at least one condition that interferes with the quality of the video images, controlling a fluid system to clean a tip of the endoscope based on at least one learned preference that was learned by the controller from user action over time.
14 . The method of claim 13 , wherein the at least one learned preference is associated with a particular user.
15 . The method of claim 13 , wherein the at least one learned preference is associated with a particular procedure.
16 . The method of claim 13 , wherein detecting the at least one video signature corresponding to the at least one condition that interferes with the quality of the video images comprises detecting a presence of blood in the video images.
17 . The method of claim 16 , wherein detecting the presence of blood in the video images comprises detecting the presence of blood on the tip of the endoscope.
18 . The method of claim 13 , wherein controlling the fluid system to clean the tip of the endoscope based on the at least one learned preference comprises controlling an amount of fluid to clean the tip of the endoscope.
19 . The method of claim 13 , wherein the controller is configured to learn the at least one learned preference by determining occurrence of the user action after automatic control by the controller.
20 . The method of claim 19 , wherein the user action comprises manual adjustment of the fluid system.
21 . The method of claim 20 , wherein controlling the fluid system to clean the tip of the endoscope based on the at least one learned preference that was learned by the controller from the user action over time comprises controlling the fluid system to a setting corresponding to the manual adjustment.