Abstract: An information processing apparatus includes a hardware processor which (i) performs learning by a learning data set associated with a correct answer label for a preset problem and creates a machine learning model for estimating a correct answer to the preset problem for input data, (ii) estimates the correct answer to the preset problem for the input data by using the machine learning model, (iii) in response to a user operation, determines a label indicating a result of the estimation as a correct answer label of the input data or corrects the label to determine the corrected label as a correct answer label of the input data, and (iv) additionally registers the determined correct answer label as learning data in association with the input data in the learning data set.

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: 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 information processing apparatus includes a hardware processor which (i) performs learning by a learning data set associated with a correct answer label for a preset problem and creates a machine learning model for estimating a correct answer to the preset problem for input data, (ii) estimates the correct answer to the preset problem for the input data by using the machine learning model, (iii) in response to a user operation, determines a label indicating a result of the estimation as a correct answer label of the input data or corrects the label to determine the corrected label as a correct answer label of the input data, and (iv) additionally registers the determined correct answer label as learning data in association with the input data in the learning data set.

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: An information processing apparatus includes a hardware processor which (i) performs learning by a learning data set associated with a correct answer label for a preset problem and creates a machine learning model for estimating a correct answer to the preset problem for input data, (ii) estimates the correct answer to the preset problem for the input data by using the machine learning model, (iii) in response to a user operation, determines a label indicating a result of the estimation as a correct answer label of the input data or corrects the label to determine the corrected label as a correct answer label of the input data, and (iv) additionally registers the determined correct answer label as learning data in association with the input data in the learning data set.

Abstract: A dynamic analysis device including a hardware processor that generates, from each of a first chest dynamic image and a second chest dynamic image generated by radiographing dynamics of a chest at different times, a plurality of pieces of waveform information including at least waveform information indicating a respiratory state and waveform information indicating a heartbeat state; selects, from the second chest dynamic image, a comparative image to be compared with a reference image included in the first chest dynamic image, according to the generated plurality of pieces of waveform information; and subjects the reference image and the comparative image to a comparison analysis process.

Abstract: A dynamic analysis device including a hardware processor that generates, from each of a first chest dynamic image and a second chest dynamic image generated by radiographing dynamics of a chest at different times, a plurality of pieces of waveform information including at least waveform information indicating a respiratory state and waveform information indicating a heartbeat state; selects, from the second chest dynamic image, a comparative image to be compared with a reference image included in the first chest dynamic image, according to the generated plurality of pieces of waveform information; and subjects the reference image and the comparative image to a comparison analysis process.

Abstract: A radiation image processing device which performs image processing to a moving image that is obtained by emitting radiation to a subject, the radiation image processing device including a hardware processor that: extracts a reference region from each of a plurality of frame images which form the moving image; calculates an image processing condition of the reference region for each of the frame images from which the reference region is extracted; determines a standard image processing condition which is a standard based on the calculated image processing condition of each of the frame images; and performs image processing by applying the determined standard image processing condition to each of the frame images.

Abstract: An information processing apparatus includes a hardware processor which (i) performs learning by a learning data set associated with a correct answer label for a preset problem and creates a machine learning model for estimating a correct answer to the preset problem for input data, (ii) estimates the correct answer to the preset problem for the input data by using the machine learning model, (iii) in response to a user operation, determines a label indicating a result of the estimation as a correct answer label of the input data or corrects the label to determine the corrected label as a correct answer label of the input data, and (iv) additionally registers the determined correct answer label as learning data in association with the input data in the learning data set.

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: A radiation image processing device which performs image processing to a moving image that is obtained by emitting radiation to a subject, the radiation image processing device including a hardware processor that: extracts a reference region from each of a plurality of frame images which form the moving image; calculates an image processing condition of the reference region for each of the frame images from which the reference region is extracted; determines a standard image processing condition which is a standard based on the calculated image processing condition of each of the frame images; and performs image processing by applying the determined standard image processing condition to each of the frame images.

Abstract: A medical image system, including: a target region extraction section which extracts a target region from a medical image obtained by X-ray imaging of a target site; a first extraction section which extracts an initial region from the target region, the initial region having a brightness value which is equal to or larger than a first reference value; a second extraction section which extracts a region having a brightness value that is equal to or smaller than a second reference value from a region including the initial region in the target region; an acquisition section which calculates areas of the target region, the region including the initial region and the region extracted by the second extraction section, and acquires an index regarding a lesion based on the calculated areas; and a display section which displays the acquired index regarding the lesion.