Abstract: Systems and methods for automatic detection of surgical specialty type and procedure type are disclosed. One or more classification networks may be applied to automatically process input surgical image data in order to recognize and determine a surgical specialty type and a surgical procedure type depicted in the input image data. Based on the determination made by the system, one or more output indications may be generated and one or more surgical devices may be automatically controlled, such as by being optimized for use during the surgical procedure type and/or surgical specialty type represented by the input image.

Abstract: Systems and methods for detecting, characterizing, and addressing surgical smoke are disclosed. In some embodiments, a surgical system receives image data representing an image of a surgical environment and generates sets of values based on the received image. The sets of values may include representations of atmospheric light in the image and representations of contrast values in the image. The system may determine from the sets of values whether predetermined smoke severity criteria are met, and may responsively automatically engage and/or disengage one or more surgical devices, such as a surgical smoke evacuation system and/or an image processing system (e.g., a video enhancement feature) configured to improve quality of smoky surgical images.

Abstract: 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

Abstract: Systems and methods for detecting, characterizing, and addressing surgical smoke are disclosed. In some embodiments, a surgical system receives image data representing an image of a surgical environment and generates sets of values based on the received image. The sets of values may include representations of atmospheric light in the image and representations of contrast values in the image. The system may determine from the sets of values whether predetermined smoke severity criteria are met, and may responsively automatically engage and/or disengage one or more surgical devices, such as a surgical smoke evacuation system and/or an image processing system (e.g., a video enhancement feature) configured to improve quality of smoky surgical images.

Abstract: A surgical system for providing an improved video image of a surgical site including a system controller that receives and processes video images to determine a video signature corresponding to a condition that interferes with a quality of the video images, with the system controller interacting with a video enhancer to enhance the video images from a video capturing device to automatically control the video enhancer to enhance the video images. The surgical system can also review the video images for a trigger event and automatically begin or stop recording of the video images upon occurrence of the trigger event.

Abstract: According to an aspect, video data taken from an endoscopic imaging device can be used to automatically control a surgical pump for purposes of regulating fluid pressure in an internal area of a patient during an endoscopic procedure. Control of the pump can be based in part on one or more features extracted from video data received from an endoscopic imaging device. The features can be extracted from the video data using a combination of machine learning classifiers and other processes configured to determine the presence of various conditions within the images of the internal area of the patient. Using the one or more extracted features, the system can adjust the inflow and outflow settings of the surgical pump to regulate the fluid pressure of the internal area of the patient commensurate with the needs of the surgery and the patient at any given moment in time during the surgical procedure.

Abstract: Systems and methods for automatic detection of surgical specialty type and procedure type are disclosed. One or more classification networks may be applied to automatically process input surgical image data in order to recognize and determine a surgical specialty type and a surgical procedure type depicted in the input image data. Based on the determination made by the system, one or more output indications may be generated and one or more surgical devices may be automatically controlled, such as by being optimized for use during the surgical procedure type and/or surgical specialty type represented by the input image.

Abstract: Systems and methods for detecting, characterizing, and addressing surgical smoke are disclosed. In some embodiments, a surgical system receives image data representing an image of a surgical environment and generates sets of values based on the received image. The sets of values may include representations of atmospheric light in the image and representations of contrast values in the image. The system may determine from the sets of values whether predetermined smoke severity criteria are met, and may responsively automatically engage and/or disengage one or more surgical devices, such as a surgical smoke evacuation system and/or an image processing system (e.g., a video enhancement feature) configured to improve quality of smoky surgical images.

Abstract: A surgical system for providing an improved video image of a surgical site including a system controller that receives and processes video images to determine a video signature corresponding to a condition that interferes with a quality of the video images, with the system controller interacting with a video enhancer to enhance the video images from a video capturing device to automatically control the video enhancer to enhance the video images. The surgical system can also review the video images for a trigger event and automatically begin or stop recording of the video images upon occurrence of the trigger event.