Abstract: In one embodiment, a medical information processing apparatus includes processing circuitry configured to: perform processing using a trained model that is generated by machine learning with a plurality of training data; acquire first attribute data indicating an attribute of an object-to-be-trained related to the plurality of training data that are used for generating the trained model; acquire second attribute data indicating an attribute of an object-to-be-diagnosed; and perform the processing on input-data of the object-to-be-diagnosed based on goodness of fit that is an index indicating degree of matching between the first attribute data and the second attribute data.

Abstract: A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry acquires a medical image and a heat map. The processing circuitry determines a transmittance of the heat map on the basis of pixel values of the medical image. The processing circuitry generates a superimposed image obtained by superimposing the heat map having the determined transmittance on the medical image.

Abstract: A medical information processing system of an embodiment includes processing circuitry. The processing circuitry acquires medical data regarding a first target of a patient according to an examination order. The processing circuitry generates first support information for supporting diagnosis of the first subject on the basis of the medical data. The processing circuitry analyzes a second subject different from the first subject on the basis of the medical data. The processing circuitry generates second support information for supporting diagnosis of the second target on the basis of an analysis result of the second target. The processing circuitry causes a display unit to display at least the second support information between the first support information and the second support information.

Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to receive an input of first transition data indicating a transition up to the present time of a biological index value exhibiting a condition of a patient and second transition data indicating a transition up to the present time of a treatment means implemented on the patient; to set a goal value of the biological index value as a treatment index value; and to predict a time at which the biological index value of the patient will reach the treatment index value, on the basis of such first transition data and second transition data of one or more past patients different from the patient that have characteristics similar to characteristics of the first transition data and the second transition data of the patient.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image related to the pancreas. The processing circuitry is configured to extract a pancreas region included in the medical image. The processing circuitry is configured to extract at least one tubular structure region from the inside of the pancreas region. The processing circuitry is configured to identify a first end part and a second end part related to the pancreas on the basis of the pancreas region. The processing circuitry is configured to estimate a primary pancreatic duct centerline of the pancreas on the basis of the tubular structure region, the first end part, and the second end part.

Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured to: obtain first nerve activity information indicating an activity of a nerve of a subject; estimate first feeling information indicating a feeling experienced by the subject on the basis of the first nerve activity information; and determine presentation information to enable an evaluator to experience the feeling of the subject, on the basis of the first feeling information.

Abstract: In one embodiment, a medical information processing apparatus includes processing circuitry configured to: perform processing using a trained model that is generated by machine learning with a plurality of training data; acquire first attribute data indicating an attribute of an object-to-be-trained related to the plurality of training data that are used for generating the trained model; acquire second attribute data indicating an attribute of an object-to-be-diagnosed; and perform the processing on input-data of the object-to-be-diagnosed based on goodness of fit that is an index indicating degree of matching between the first attribute data and the second attribute data.

Abstract: In one embodiment, a medical image processing apparatus includes: processing circuitry configured to acquire three-dimensional image data including a liver of a donor, extract a region of the liver and vessels in the liver from the three-dimensional image data, and determine, in the extracted region of the liver, a cross section of the liver in such a manner that volume of the liver to be resected from the donor satisfies a predetermined matching condition of transplantation and number of vessels on the cross section becomes smaller.

Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to receive an input of first transition data indicating a transition up to the present time of a biological index value exhibiting a condition of a patient and second transition data indicating a transition up to the present time of a treatment means implemented on the patient; to set a goal value of the biological index value as a treatment index value; and to predict a time at which the biological index value of the patient will reach the treatment index value, on the basis of such first transition data and second transition data of one or more past patients different from the patient that have characteristics similar to characteristics of the first transition data and the second transition data of the patient.

Abstract: In one embodiment, a medical image processing apparatus includes: processing circuitry configured to acquire three-dimensional image data including a liver of a donor, extract a region of the liver and vessels in the liver from the three-dimensional image data, and determine, in the extracted region of the liver, a cross section of the liver in such a manner that volume of the liver to be resected from the donor satisfies a predetermined matching condition of transplantation and number of vessels on the cross section becomes smaller.