Abstract: An interpretation management apparatus including a hardware processor that: acquires an automatically generated finding obtained by computer processing on medical information; acquires a first interpretation finding created by a user based on the medical information; determines whether or not a result combination is a combination for which an active notification is to be performed, the result combination being a combination of a result of the automatically generated finding and a result of the first interpretation finding; and actively notifies predetermined information in response to determination that the result combination is the combination for which the active notification is to be performed.

Abstract: A radiographic interpretation management apparatus includes a hardware processor. The hardware processor is configured to obtain an automatically generated finding obtained by computer processing on medical information, obtain a radiographic interpretation finding created by a user based on the medical information, and be able to set by user operation a combination that is to be displayed with highlight among combinations of a result of the automatically generated finding and a result of the radiographic interpretation finding.

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: An image processing apparatus includes a hardware processor. The hardware processor calculates a characteristic amount from each frame images of a moving image. The characteristic amount indicates change in a subject. The moving image is obtained by radiographing a dynamic state of the subject. The hardware processor extracts a frame image having the characteristic amount satisfying a predetermined condition, processes the extracted frame image by applying an image processing parameter to the extracted frame image prior to a remaining frame image, and causes a display to display the processed frame image.

Abstract: Provided is an information processing device that is interposed between an imaging control device and an image management device in communication. The information processing device including an abnormality detector and a first hardware processor. The abnormality detector performs detection of an abnormality in a medical image received from the imaging control device. The first hardware processor that determines, based on a result of the detection by the abnormality detector, content or a destination of transmission of the medical image or the result of the detection.

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 radiation image processing apparatus includes a display and a hardware processor. The display displays an image. The hardware processor is configured to perform the following, acquire radiographic moving image data comprising a plurality of frame images, subject the moving image data to predetermined analytical processing, generate an analyzed moving image comprising a plurality of analyzed frame images, select a plurality of specific analyzed frame images from the analyzed frame images of the analyzed moving image, derive a calculation signal value based on signal values of pixels having common coordinates positioned in common coordinates in the selected specific analyzed frame images, and cause a calculated image based on the calculation signal values generated according to coordinates to appear on the display.

Abstract: A dynamic image analysis apparatus includes a hardware processor. An imaging condition affects the area and the volume of a subject that are calculated from dynamic images obtained by radiographing a cyclic dynamic state of the subject from different directions. Based on a set value of the imaging condition in the radiographing, the hardware processor corrects the area or the volume of the subject calculated from the dynamic images. Further, based on (i) the volume calculated based on the corrected area or (ii) the corrected volume, the hardware processor estimates an evaluation index of a function of the subject.

Abstract: A dynamic analysis system includes a hardware processor. A first plurality of frame images showing a dynamic state of a chest of an intubated first examinee is obtained by radiation imaging of the chest of the first examinee. Based on the first plurality of frame images, the hardware processor calculates a signal value change amount and/or a shape change amount of a predetermined structure of the chest in the first plurality of frame images. Based on the calculated signal value change amount and/or shape change amount, the hardware processor generates assessment information to assess a respiratory status of the first examinee at time of intubation or extubation.

Abstract: An image processing apparatus includes a hardware processor. The hardware processor calculates a characteristic amount from each of frame images of a moving image. The characteristic amount indicates change in a subject. The moving image is obtained by radiographing a dynamic state of the subject. The hardware processor extracts a frame image having the characteristic amount satisfying a predetermined condition, processes the extracted frame image by applying an image processing parameter to the extracted frame image prior to a remaining frame image, and causes a display to display the processed frame image.

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 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 collection processing apparatus which can efficiently collect desired medical information without excess or deficiency, an information collection processing method and a program are provided. The information collection processing apparatus includes an information extractor which extracts medical information from a terminal apparatus which possesses the medical information including a plurality of pieces of supplementary information on the basis of collection side conditions in which medical information to be collected is set and provision side conditions in which medical information which can be provided is set, an information processor which performs treatment processing including processing of deleting at least one piece of the supplementary information among a plurality of pieces of the supplementary information included in the medical information extracted by the information extractor, and an information storage 6 which stores the medical information subjected to the treatment processing.

Abstract: Lung segmentation and bone suppression techniques are helpful pre-processing steps prior to radiographic analyzes of the human thorax, as may occur during cancer screenings and other medical examinations. Autonomous lung segmentation may remove spurious boundary pixels from a radiographic image, as well as identify and refine lung boundaries. Thereafter, autonomous bone suppression may identify clavicle, posterior rib, and anterior rib bones using various image processing techniques, including warping and edge detection. The identified clavicle, posterior rib, and anterior rib bones may then be suppressed from the radiographic image to yield a segmented, bone suppressed radiographic 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 method for managing a patient medical case. The method includes: identifying, within a patient medical image of the patient medical case, a first abnormal image region; retrieving, from a reference medical case (RMC) repository and before the patient medical image is displayed to a user, a first set of reference medical cases including reference medical images matching the first abnormal image region; displaying, within a GUI, the patient medical image and at least one of the first set of reference medical cases to the user; receiving, from the user after the patient medical image is displayed, a selection of a second abnormal image region within the patient medical image; retrieving, from the RMC repository, a second set of reference medical cases including reference medical images matching the second abnormal image region; and displaying, with the GUI, at least one of the second set of reference medical cases.

Abstract: A medical image processing apparatus includes a hardware processor. The hardware processor performs the following, defining a plurality of structures in an X-ray image obtained by capturing a living body; estimating signal values attributed to the structures defined in the X-ray image and generating a layer image for each of the structures; determining a factor of enhancement or attenuation for each of the structures; and enhancing or attenuating the signal value of each of the structures in the layer image based on the determined factor of enhancement or attenuation.