Systems and methods are provided for delivering consistent high quality, cost efficient results in fixed or mobile endoscopy facilities, without requiring the continuous real-time involvement of a fellowship trained gastroenterologist, by integrating patient specific information into decision support systems and AI/machine learning systems employed during the planning and examination phases of the endoscopy procedure.

An image acquisition unit sequentially acquires a medical image. A recognition processing unit applies a recognition process to the medical image. A recognition result display determination unit determines to display or not display the result of the recognition process on a display according to blur in the medical image. A display control unit controls the display of the recognition process according to the determination by the recognition result display determination unit.

A special observation image is obtained by performing an image pickup of an object to be observed illuminated with special light. Bs-image signals of the special observation image are assigned to brightness signals Y to generate a first observation image for display. Gs-image signals of the special observation image are assigned to brightness signals Y to generate a second observation image for display. The first observation image for display and the second observation image for display are automatically switched and displayed on a monitor.

The present invention relates to a fully integrated sterilizable one time use disposable tissue visualization device and methods for using such devices. Preferred embodiments of the invention facilitate the visualization of an internal tissue site while causing a minimum of damage to the surrounding tissue. Further preferred embodiments may allow for the delivery of fluids and other treatment to an internal tissue site.

Systems and methods for supporting image-guided procedures include a device having an instrument usable to collect location data for one or more passageways and one or more processors coupled to the instrument. The one or more processors are configured to organize a plurality of points within the location data based on a corresponding insertion depth of the instrument when each of the plurality of points is collected, create a passageway tree based on the points, identify at least three non-collinear landmark locations within the passageway tree, create a seed transformation between one or more of the at least three non-collinear landmark locations and corresponding model locations in model data, and register, using the seed transformation, the plurality of points to the model data for the one or more passageways. In some embodiments, the at least three non-collinear landmark locations are based on a main branch point in the passageway tree.

An endoscope observation assistance apparatus includes an image information acquiring part to acquire and display a captured image of a luminal organ captured by the endoscope device on a display, a lesion information acquisition part to detect a predetermined lesion based on the captured image and to acquire lesion information regarding the lesion, a lesion disappearance determination part to track the lesion based on the captured image and the lesion information and to determine whether or not the lesion has disappeared from the captured image, and a notification part to notify a determination result when the lesion disappearance determination part determines that the lesion has disappeared from the captured image. Alternatively, the notification part may notify a lesion detection when a short time period passes after the lesion detection by the lesion information acquisition part.

A medical device includes an outer tube, an operation portion at least partially located in the outer tube and a control portion having a channel communicated with the outer tube along the first direction. The second end of the control portion is coupled with the first end of the outer tube, so that the channel and the outer tube are communicated with each other along the first direction. The control portion includes a control module including a suction control unit having a stopping unit and configured to move along a second direction which is different form the first direction, a suction port actuator located at a side opposite to the suction control unit with the channel therebetween and a switching unit configured to switch the work status of the operation portion. The suction port actuator is configured to be activated by the suction control unit.

A processing device includes a processor, the processor being configured to: acquire a captured image of an inside of a lumen; acquire lumen structure information indicating a structure of the lumen; determine whether the captured image can be analyzed or not and output analysis allowability/non-allowability information indicating whether the captured image is in an analysis allowable state or not based on the captured image and first determination criteria; associate the analysis allowability/non-allowability information with the structure of the lumen based on the analysis allowability/non-allowability information and the lumen structure information to identify an analyzable portion and an unanalyzable portion of the structure of the lumen; and determine that the identified unanalyzable portion is a missed portion based on position and orientation information of a distal end of an insertion section to be inserted in the lumen and second determination criteria.

A method is described for performing a percutaneous operation on a patient to remove an object from a cavity within the patient. The method includes advancing a first alignment sensor into the cavity through a patient lumen. The first alignment sensor provides its position and orientation in free space in real time. The alignment sensor is manipulated until it is located in proximity to the object. A percutaneous opening is made in the patient with a surgical tool, where the surgical tool includes a second alignment sensor that provides the position and orientation of the surgical tool in free space in real time. The surgical tool is directed towards the object using data provided by both the first and the second alignment sensors.

A medical manipulator system includes: an endoscope; a first manipulator equipped with a first treatment tool at a distal end thereof; a second manipulator equipped with a second treatment tool at a distal end thereof; a display for a user to view; and a controller configured to generate an image to be displayed on the display. The controller is configured to: acquire a first image taken by the endoscope, the first image contains the first treatment tool; and in response to determining that the second treatment tool does not exist in the first image: calculate a relative distance and a relative direction between the first treatment tool and the second treatment tool; generate a second image showing the relative distance and the relative direction between the first treatment tool and the second treatment tool; and send the first image and the second image to the display.