Canon Medical Systems Corporation

Chihiro Hattori

Takuya Sakaguchi

Yasuko Fujisawa

Kota Aoyagi

Naotaka Sakashita

Aina Ikezaki

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.

Medical information processing apparatus, medical information processing method, and non-transitory computer-readable medium

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.

Medical information processing apparatus, medical information processing method, and non-transitory computer-readable storage medium storing program

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.

Medical information processing apparatus, medium, and medical information processing method

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.

Growing community of inventors

Nasushiobara, Japan

Chihiro Hattori