Abstract: An information processing device includes: a plurality of identifiers that discriminates whether abnormal data that is information indicating an abnormal value is included in treatment data and detects the abnormal data; and a hardware processor that: customizes evaluation data used when evaluating discrimination accuracy of the plurality of identifiers; calculates the discrimination accuracy of each of the plurality of identifiers using the evaluation data customized by the hardware processor; and selects one identifier out of the plurality of identifiers as an identifier used for discrimination based on a calculation result by the hardware processor.

Abstract: An analysis device includes a hardware processor, an acquirer, and an outputter, wherein the hardware processor acquires first medically-related information obtained through computer processing performed on medical information, the hardware processor generates structured data by structuring unstructured data acquired from user-created information on the basis of the medical information, the acquirer acquires second medically-related information from the structured data, the hardware processor compares the acquired first medically-related information and the second medically-related information acquired by the acquirer, and the outputter outputs next step information on the basis of a comparison result from the comparing.

Abstract: An analysis device includes a hardware processor, an acquirer, and an outputter, wherein the hardware processor acquires first medically-related information obtained through computer processing performed on medical information, the acquirer acquires second medically-related information created by a user on a basis of the medical information, the hardware processor compares the acquired first medically-related information and the second medically-related information acquired by the acquirer, and the hardware processor outputs statistical information on a basis of the first medically-related information and the second medically-related information.

Abstract: A learning apparatus includes a hardware processor. The hardware processor obtains a first medical image. The hardware processor generates a second medical image in which a feature according to feature information related to a portion other than a recognition target of the first medical image is made close to the feature according to standard feature information which is to be a predetermined standard. The second medical image is used to train a machine learning model.

Abstract: A medical information processing apparatus includes a hardware processor. The hardware processor determines, based on a predetermined condition, priority degrees of lesion-detected regions of multiple types of lesions detected in a medical image. Further, the hardware processor makes display forms of the lesion-detected regions detected in the medical image differ according to the determined priority degrees.

Abstract: A selection support system includes one or more hardware processors. A hardware processor among the one or more hardware processors obtains biological information of a subject. The hardware processor layers and accumulates, in an accumulator, input operation information about an input operation performed on the obtained biological information by a user. In response to obtaining new biological information, according to the input operation information accumulated in the accumulator, the hardware processor generates recommendation information that includes identification information identifying an application for analyzing the new biological information and additional information indicating a characteristic of the application.

Abstract: An information processing device includes a hardware processor that (i) acquires one or more pieces of examination data concerning a patient targeted to be diagnosed, (ii) specifies candidates for a name of a disease by which the patient targeted to be diagnosed may be affected and a subsequent examination to be executed for determining the name of the disease of the patient targeted to be diagnosed based on the examination data as acquired, and (iii) outputs the candidates for the name of the disease and the subsequent examination as specified.

Abstract: A dynamic analysis apparatus includes: an obtainment unit configured to set a region of interest in dynamic images obtained by photographing a dynamic state by irradiation of a check target part with radial rays, and obtain movement information on movement of the region of interest; a determination unit configured to determine an emphasis level of a pixel signal value of an attentional pixel corresponding to a pixel in the region of interest on the basis of the movement information of the region of interest obtained by the obtainment unit; and a correction unit configured to correct the pixel signal value of the attentional pixel of the dynamic images or analysis result images generated by analyzing the dynamic images, on the basis of the emphasis level determined by the determination unit.

Abstract: A dynamic analysis system includes a diagnostic console which calculates at least one index value representing variation in a target portion of a human body from at least one dynamic image acquired by performing radiographic imaging to a subject containing the target portion, and evaluates flexibility of the target portion based on the calculated index value.

Abstract: An information processing apparatus includes a hardware processor. The hardware processor obtains an abnormal shadow candidate detection result generated based on a medical image obtained by a medical image generation apparatus. Based on the obtained abnormal shadow candidate detection result, the hardware processor determines the number of image interpreters who interpret the medical image. The hardware processor outputs the determined number of image interpreters.

Abstract: A dynamic analysis system includes a diagnostic console which calculates at least one index value representing variation in a target portion of a human body from at least one dynamic image acquired by performing radiographic imaging to a subject containing the target portion, and evaluates flexibility of the target portion based on the calculated index value.

Abstract: A dynamic analysis system includes a hardware processor. The hardware processor: analyzes a dynamic image for a dynamic state of a living body; generates an analysis result image showing the analysis result; determines, for each pixel of the dynamic image or the analysis result image, whether a pixel value is within a predetermined range of values; classifies the pixels into groups according to the determination result; extracts, as each border pixel, a pixel in a group adjacent to a pixel classified into a different group; generates a border between the groups based on the extracted border pixels; superimposes the border on, between the dynamic image and the analysis result image, an image not subjected to the classification, thereby generating a combined image; and causes an output device to output the combined image.

Abstract: An information processing device includes: a plurality of identifiers that discriminates whether abnormal data that is information indicating an abnormal value is included in treatment data and detects the abnormal data; and a hardware processor that: customizes evaluation data used when evaluating discrimination accuracy of the plurality of identifiers; calculates the discrimination accuracy of each of the plurality of identifiers using the evaluation data customized by the hardware processor; and selects one identifier out of the plurality of identifiers as an identifier used for discrimination based on a calculation result by the hardware processor.

Abstract: A dynamic image processing device includes: a hardware processor that sets a kind of a dynamic state to be diagnosed; extracts a frame image indicating the dynamic state of the kind set by the hardware processor from each of a plurality of dynamic images obtained by imaging a dynamic state of a living body with radiation; extracts a dynamic state dependent characteristic amount dependent on the dynamic state of the kind set by the hardware processor from the frame image extracted from each of the plurality of dynamic images; and standardizes the plurality of dynamic images based on the dynamic state dependent characteristic amount extracted by the hardware processor.

Abstract: A dynamic analysis device includes a processor. The processor performs filtering on a dynamic image in a feature quantity space formed of two or more axes with feature quantities of the respective axes. The dynamic image is obtained by dynamic imaging performed by emitting radiation to an examination target site. Further, the processor calculates a feature quantity relating to a dynamic state of the examination target site based on the filtered dynamic image.

Abstract: A medical information processing device includes: a hardware processor that: acquires data regarding a human body; accumulates acquired data acquired by the hardware processor; analyzes accumulated data accumulated by the hardware processor, autonomously finds a correspondence pattern between the accumulated data and at least timing at which prescription is performed and a content out of the accumulated data and generates an identifier used for inference; infers a prescription content including at least the timing at which the prescription should be performed using the identifier generated by the hardware processor and the acquired data; and outputs the prescription content inferred by the hardware processor.

Abstract: A dynamic analysis apparatus may include a setting section which sets a target region in a lung region of a chest dynamic image; a conversion section which calculates a representative value of a pixel signal value in the target region, and converts the pixel signal value; an extraction section which extracts a pulmonary blood flow signal from the image; and a calculation section which calculates a change in the pulmonary blood flow signal, and calculates a feature amount regarding pulmonary blood flow. The setting section may determine a size of the target region based on a size of a body part other than a lung blood vessel, a movement amount of a body part other than the lung blood vessel or subject information of the chest dynamic image, the subject information regarding a subject of the radiation imaging, and the setting section may set the target region.

Abstract: A dynamic analysis system includes a hardware processor. The hardware processor: analyzes a dynamic image for a dynamic state of a living body; generates an analysis result image showing the analysis result; determines, for each pixel of the dynamic image or the analysis result image, whether a pixel value is within a predetermined range of values; classifies the pixels into groups according to the determination result; extracts, as each border pixel, a pixel in a group adjacent to a pixel classified into a different group; generates a border between the groups based on the extracted border pixels; superimposes the border on, between the dynamic image and the analysis result image, an image not subjected to the classification, thereby generating a combined image; and causes an output device to output the combined image.

Abstract: A dynamic analysis apparatus may include a setting section which sets a target region in a lung region of a chest dynamic image; a conversion section which calculates a representative value of a pixel signal value in the target region, and converts the pixel signal value; an extraction section which extracts a pulmonary blood flow signal from the image; and a calculation section which calculates a change in the pulmonary blood flow signal, and calculates a feature amount regarding pulmonary blood flow. The setting section may determine a size of the target region based on a size of a body part other than a lung blood vessel, a movement amount of a body part other than the lung blood vessel or subject information of the chest dynamic image, the subject information regarding a subject of the radiation imaging, and the setting section may set the target region.

Abstract: A dynamic analysis apparatus may include a setting section which sets a target region in a lung region of a chest dynamic image; a conversion section which calculates a representative value of a pixel signal value in the target region, and converts the pixel signal value; an extraction section which extracts a pulmonary blood flow signal from the image; and a calculation section which calculates a change in the pulmonary blood flow signal, and calculates a feature amount regarding pulmonary blood flow. The setting section may determine a size of the target region based on a size of a body part other than a lung blood vessel, a movement amount of a body part other than the lung blood vessel or subject information of the chest dynamic image, the subject information regarding a subject of the radiation imaging, and the setting section may set the target region.