Abstract: A phenol compound represented by the following general formula (1A) makes it possible to provide a phenol compound as an additive for a conductive paste composition having a small decrease in electric conductivity in repetitive elongations and shrinkages and excellent printing processability, a conductive paste composition containing the additive, and a conductive wire made by using the conductive paste composition

Abstract: The present invention is a phenol compound represented by the following general formula (1A). This phenol compound makes it possible to provide a phenol compound as an additive for a conductive paste composition having a small decrease in electric conductivity in repetitive elongations and shrinkages and excellent printing processability, a conductive paste composition containing the additive, and a conductive wire made by using the conductive paste composition.

Abstract: A medical procedure preparation system includes an input interface, a display, at least one a processor. The at least one processor is configured to receive an input containing (i) a medical procedure location where a medical procedure is performed, and (ii) a storage location where a medical device is stored, calculate (iii) a distance between (i) and (ii), calculate one of (a) a preparation start time of the medical device used in the medical procedure and (b) a performing time of the medical procedure using the medical device based on (iii) and (iv), and output a display image indicating one of (a) and (b) to the display. Calculation one of (a) and (b) is based on (iii) the distance and (iv) a movement speed of a transport device.

Abstract: An endoscopic control apparatus includes one or more processors configured to process image matching with respect to a first image and a second image to determine an image in the first image and the second image, the first image obtained from an endoscope during an endoscopy, the image feature comprises information related to common pixels among the first image and the second image, detect a treatment target based on the image feature obtained from the image matching, determine a treatment instrument based on the detected treatment target, and display guide information, the guide information includes information related to the treatment instrument.

Abstract: A medical procedure preparation guide apparatus includes one or more processors comprising hardware, wherein the one or more processors configured to: acquires an examination type which is a type of examination or treatment using medical equipment; searches a database for layout information about candidate equipment corresponding to the examination type, where the database stores layout information about spaces necessary for the examination or the treatment in relation to a plurality of sets of the medical equipment necessary for the examination or the treatment; and outputs the layout information about the candidate equipment including dynamic human body measurements information about a person concerned with the examination or the treatment using the medical equipment.

Abstract: An image processing apparatus includes an inference part which is capable of inference by using a first inference model for finding of a specific target object and by using a second inference model for discrimination about the specific target object and a control unit to which a first picked-up image obtained under a first image pickup condition and a second picked-up image obtained under a second image pickup condition different from the first image pickup condition can be inputted and which performs control such that in a case where the first picked-up image is inputted, the inference part is caused to execute inference by using the first inference model, and in a case where the second picked-up image is inputted, the inference part is caused to execute inference by using the second inference model.

Abstract: An information processing device of the present invention is capable of collaboration with a learning device to determine whether an image group that has been obtained in time series by the first endoscope is an image group obtained at a first time or at a second time, and to create a first inference model for image feature determination of images for the first endoscope by performing learning with results of having performed annotation on the image group that was obtained at the second time as training data, the information processing device comprising at least one or a plurality of classifying processors that classify image groups constituting training data candidates, within an image group from the first endoscope that has been newly acquired, or an image group from a second endoscope, using the image group that has been obtained at the first time, when the first inference model was created.

Abstract: An inference learning device, comprising an input device for inputting data from a data acquisition device, a learning device for obtaining an inference model by learning using training data that has been obtained by performing annotation of the data, and a data processing device that, for data that has been obtained continuously in time series from the data acquisition device, makes provisional training data by performing the annotation on a plurality of items of data that have been obtained from data that was obtained at a given first time to a second time that has been traced back to a predetermined time, and makes data, among the provisional training data that has a high correlation of causal relationship with the data of the first time, into adopted training data, which is training data used in the learning device.

Abstract: An imaging system, comprising a shooting operation interface that operates to form an image of a subject, and a processor that has a bio-information acquisition section and a stress determination section, wherein the bio-information acquisition section acquires bio-information of an operator when, during shooting awaiting action where an instant for acquiring still images is awaited, the shooting operation interface is operated, and the stress determination section determines stress conditions that shooting actions place on the operator based on the bio-information that has been acquired using the bio-information acquisition section.

Abstract: A training data generation device includes a computer, and a computer-readable storage medium. The computer is configured to: receive an input of an annotation for second image data obtained by imaging an observation target; reflect a result of the annotation in first image data that is related to the same observation target as the observation target of the second image data, the first image data having a different at least one of imaging mode and display mode from the second image data; and generate training data for creating an inference model by using the first image data and the result of the annotation reflected in the first image data, the first image data including image data of a plurality of images, and the second image data being image data of an image obtained by combining the plurality of images included in the first image data.

Abstract: A training data collection request device, having a communication circuit receives information relating to symptoms of a specified patient, and a processor specifies a device that is capable of acquiring previous time series data of the patient, wherein the processor acquires, for another person who is using the similar type of device to the device that was specified, data and consultation information that has been collected using the similar type of device to create the training data.

Abstract: An image processing apparatus includes an inference part which is capable of inference by using a first inference model for finding of a specific target object and by using a second inference model for discrimination about the specific target object and a control unit to which a first picked-up image obtained under a first image pickup condition and a second picked-up image obtained under a second image pickup condition different from the first image pickup condition can be inputted and which performs control such that in a case where the first picked-up image is inputted, the inference part is caused to execute inference by using the first inference model, and in a case where the second picked-up image is inputted, the inference part is caused to execute inference by using the second inference model.

Abstract: A display control apparatus includes a processor, and the processor determines, in work on an object within a space, which one of a first picked-up image by a first image pickup device disposed at a first predetermined position within the space and a second picked-up image by a second image pickup device disposed at a second predetermined position different from the first predetermined position within the space is appropriate for confirmation of procedure in a state associated with the work on the object using a treatment instrument, outputs a determination result and controls display using at least one of the first picked-up image or the second picked-up image based on the determination result.

Abstract: A user auxiliary information output device of the present invention comprises a user status information inputter for inputting status information of a user, and an advice outputter for outputting advice relating to user diet, using database information that is a combination of ingredients and cooking methods, obtained in accordance with the status information.

Abstract: An image pickup system includes an input/output modeling section 24, the input/output modeling section 24 creating, as a population, an image group obtained when a specific target is photographed, (access image), and generating an inference model by using, as teacher data, sequential images selected from the image group created as the population, based on whether the specific target can be accessed, wherein each image of the image group is associated with date and time information and/or position information, and the input/output modeling section 24 generates an inference model for determining based on the date and time information and/or the position information whether a process to the specific target is good or bad.

Abstract: A medical support system for supporting medical service by sharing patient information includes: a file server including a patient information database, the file server being connected to a network; and an information terminal apparatus configured to communicate with the file server via the network and transmit inputted order information to the file server, and the file server creates corresponding shooting condition information based on the order information transmitted from the information terminal apparatus and transmits the shooting condition information and the order information to the information terminal apparatus.

Abstract: An image file generating device, comprising a processor having an image input section and a file generation section, the image input section inputting image data that has been converted based on images, wherein the file generating section attaches annotation related information to the image data as metadata for a relationship between the image data and user's concern, and makes into a file as training data, wherein the annotation related information includes information that has been selected from within at least one of (1) information as to whether what is being determined is an event or not, and (2) information as to whether what is being determined is timing or not.

Abstract: An information processing apparatus includes a processor. The processor acquires a picked-up image, creates metadata concerning the picked-up image, records an image file including the picked-up image and the metadata, and creates, as the metadata, information concerning the picked-up image with a table format in a first region in the image file and creates the information concerning the picked-up image with unstructured data in a second region extended by the information recorded by the table format in the image file.

Abstract: A user guide method, comprising determining a reference area according to user behavior and target events the user is interested in, acquiring a reference target event heat map representing distribution of the target events within the reference area for a specified time point, and estimating conditions of a target event at a time when time has passed from the specified time, by referencing the reference target event heat map, and a database that shows chronological change of previous heat maps for the same or similar areas.

Abstract: An annotation device, comprising: a display that performs sequential playback display of a plurality of images that may contain physical objects that are the subject of annotation, and a processor that acquires specific portions that have been designated within the images displayed on the display as annotation information, sets operation time or data amount for designating the specific portions, and at a point in time where designation of the specific portions has been completed for the operation time, a time based on data amount, or data amount, that have been set, requests learning to an inference engine that creates an inference model by learning, using annotation information that has been acquired up to the time of completion as training data representing a relationship between the physical object and the specific portions.