In an inspection assistance method, a processor accepts inspection portion information related to an inspection portion. In the inspection assistance method, the processor acquires a result of an inspection of the inspection portion corresponding to the inspection portion information from a storage media: In the inspection assistance method, the processor displays inspection assistance information on a display. The inspection assistance information notifies a user of information related to an abnormality of the inspection portion detected in a previous inspection. In the inspection assistance method, the processor displays an image of the inspection portion on the display.

The system comprises an intracavity device with an insertable portion having on its outer surface a sensor module which comprises at least a sensor of temperature, humidity or both; a second group of sensors comprising at least a volume sensor, a pressure sensor or both, wherein the fluid flows through the volume and/or pressure sensors; a fluid insufflation module; and a monitoring and control of the homeostasis module connected to the sensor module and to the second group of sensors and which comprises a processing unit.

The method comprises insufflating fluid into the cavity, to maintain a working volume and maintain the homeostasis of the cavity in a continuous manner, in particular the distensibility, temperature and humidity.

A non-transitory recording medium recoding a program that causes a computer to execute processing includes: recording operation field images obtained by chronologically shooting an operation field under endoscopic surgery; determining presence or absence of a predetermined or larger amount of bleeding based on the operation field images; and playing back partial images according to a set playback mode in a time range from a time before a start of bleeding to the time after the bleeding among the recorded operation field images, when it is determined that the predetermined or larger amount of bleeding is present.

A processor for an endoscope according to an aspect is characterized by including: a controller executing program code to perform: acquiring, by the controller, an endoscopic image captured using first system information; calculating, by the controller, parameter on the basis of the endoscopic image acquired by the controller; discriminating a part of a subject using a first learning model that outputs a discrimination result of discriminating the part of the subject in a case in which the calculated parameter is input; outputting second system information using a second learning model that outputs the second system information in a case in which the parameter and the discriminated part of the subject are input; and determining, by the controller, a difference between the second system information output by the second learning model and the first system information.

A method performed by a video controller. The method receives a first video stream captured by an endoscope of a surgical system, and receives a second video stream that comprises surgical data. The method displays the second video stream superimposed above an area of the first video stream, and determines that the second video stream is to cease being superimposed. Responsive to determining that the second video stream is to cease being superimposed, the method continues to display the first video stream.

The present invention enables to report insufficient observation at an appropriate timing. A medical image processing apparatus according to an aspect of the present invention is a medical image processing apparatus including a memory that stores area information indicating predetermined areas to be imaged in a photographic subject, a processor, and a reporting unit. The processor is configured to acquire a medical image of the photographic subject, perform recognition of an area of the photographic subject in the medical image, compare the recognized area with an area indicated by the area information and make a determination of a not-yet-imaged area among the areas to be imaged, and perform, using the reporting unit, reporting of a result of the determination at an expected end timing at which acquisition of the medical image of the areas to be imaged is expected to have been ended.

A medical image processing apparatus includes the following. A processor is configured to: acquire a medical image obtained by capturing an image of an observation target; detect a region of interest from the medical image; and cause a display to display report information and the medical image, the report information reporting that the region of interest has been detected. A screen displayed on the display has a first region in which the medical image is displayed, and a second region provided outside the first region. The second region is divided into four regions by using line segments passing through a center of the first region, and a detected location of the region of interest is reported by displaying the report information in one of the four regions.

Provided are a diagnostic imaging device, diagnostic imaging method, diagnostic imaging program, and learned model with which gastric cancer diagnosis can be carried out in real time during endoscopic examination performed using NBI in combination with a magnifying endoscope. The diagnostic imaging device comprises an endoscopic video image acquisition unit which emits narrow-band light at a subject's stomach and acquires an endoscopic video image captured while the stomach is in a state of magnified observation, and an estimation unit which uses a convolutional neural network, which has been caused to learn using gastric cancer images and non-gastric cancer images as training data, to estimate the presence of gastric cancer in the acquired endoscopic video image, and outputs estimation results.

In general, devices, systems, and methods for multi-source imaging are provided.

Systems, devices, and methods for controlling cooperative surgical instruments with variable surgical site access trajectories are provided. Various aspects of the present disclosure provide for coordinated operation of surgical instruments accessing a common surgical site from different approach and/or separate body cavities to achieve a common surgical purpose. For example, various methods, devices, and systems disclosed herein can enable the coordinated treatment of tissue by disparate minimally invasive surgical systems that approach the tissue from varying anatomical spaces and must operate differently, but in concert with one another, to effect a desired surgical treatment.