MEDICAL DIAGNOSIS SUPPORT DEVICE, MEDICAL DIAGNOSIS SUPPORT METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20240233941A9

    公开(公告)日:2024-07-11

    申请号:US18489171

    申请日:2023-10-18

    CPC classification number: G16H50/20 G16H50/70 G16H70/60

    Abstract: A medical diagnosis support device of an embodiment includes processing circuitry. The processing circuitry acquires first reference data based on first clinical data relating to a diagnosis result of an evaluation target and second reference data based on second clinical data relating to a comparison target diagnosis result for the evaluation target and performs an analysis process relating to the diagnosis result of the evaluation target based on the first reference data and the second reference data. The first reference data includes first data that has been referred to by a first user to obtain the diagnosis result of the evaluation target and second data that has been referred to by a diagnosis support system to obtain the diagnosis result of the evaluation target. The second reference data includes the first data that has been referred to by at least one of the first user and a second user different from the first user in order to obtain the diagnosis result of the comparison target.

    MEDICAL INFORMATION PROCESSING APPARATUS

    公开(公告)号:US20230063218A1

    公开(公告)日:2023-03-02

    申请号:US17821208

    申请日:2022-08-22

    Abstract: According to one embodiment, a medical information processing apparatus includes a processing circuitry. The processing circuitry determines respective medical information pieces as display candidates based on a plurality of support information pieces, and respective weights of a plurality of medical information pieces. The processing circuitry decides whether or not to integrate the respective medical information pieces based on the respective medical information pieces as the display candidates, and the plurality of support information pieces. The processing circuitry determines an arrangement of medical information pieces based on the plurality of support information pieces as a result of the decision.

    LEARNING SYSTEM, LEARNING DEVICE, LEARNING METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20230020543A1

    公开(公告)日:2023-01-19

    申请号:US17809141

    申请日:2022-06-27

    Abstract: A learning system includes processing circuitry. The processing circuitry is configured to acquire a first data distribution for a first data set out of data sets based on a first cohort, to select a second cohort that is used to update a first model out of a plurality of second cohorts on the basis of the acquired first data distribution, and to update the first model on the basis of at least part of a second data set out of data sets based on the selected second cohort.

    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    公开(公告)号:US20240403712A1

    公开(公告)日:2024-12-05

    申请号:US18678115

    申请日:2024-05-30

    Abstract: According to one embodiment, an information processing apparatus for applying to an artificial intelligence (AI) model, includes processing circuitry. The processing circuitry is configured to acquire a first data set having a first data trend and a second data set having a second data trend different from the first data trend, the first data set and the second data set being input to the AI model and discriminated by the AI model. The processing circuitry is configured to calculate a first feature vector based on the first data set and a second feature vector based on the second data set. The processing circuitry is configured to generate augmented data having the second data trend based on the first feature vector and the second feature vector.

    MEDICAL DIAGNOSIS SUPPORT DEVICE, MEDICAL DIAGNOSIS SUPPORT METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20240136064A1

    公开(公告)日:2024-04-25

    申请号:US18489171

    申请日:2023-10-17

    CPC classification number: G16H50/20 G16H50/70 G16H70/60

    Abstract: A medical diagnosis support device of an embodiment includes processing circuitry. The processing circuitry acquires first reference data based on first clinical data relating to a diagnosis result of an evaluation target and second reference data based on second clinical data relating to a comparison target diagnosis result for the evaluation target and performs an analysis process relating to the diagnosis result of the evaluation target based on the first reference data and the second reference data. The first reference data includes first data that has been referred to by a first user to obtain the diagnosis result of the evaluation target and second data that has been referred to by a diagnosis support system to obtain the diagnosis result of the evaluation target. The second reference data includes the first data that has been referred to by at least one of the first user and a second user different from the first user in order to obtain the diagnosis result of the comparison target.

    DIAGNOSIS AND TREATMENT SUPPORT SYSTEM

    公开(公告)号:US20220108801A1

    公开(公告)日:2022-04-07

    申请号:US17484002

    申请日:2021-09-24

    Abstract: A diagnosis and treatment support system according to an embodiment has a storage apparatus and processing circuitry. The storage apparatus stores a trained model that infers information related to a state of a patient from an examination value for a predetermined examination item. On the basis of correlations between examination values for plural examination items included in diagnosis and treatment information on plural patients, the processing circuitry calculates a conversion function that enables statistical derivation of a value from an examination value or values for one or plural examination items, and generates, on the basis of an inference obtained by inputting an examination value for an examination item included in diagnosis and treatment information on a target patient into the trained model, support information for supporting diagnosis and treatment of the target patient. Furthermore, the processing circuitry derives, on the basis of the conversion function, an examination value for a lacking examination item from an examination value for an examination item included in the diagnosis and treatment information on the target patient and causes the trained model to infer information related to a state of the target patient, in a case where examination items included in the diagnosis and treatment information on the target patient do not satisfy a requirement for the predetermined examination item.

    CLINICAL DECISION SUPPORT DEVICE, CLINICAL DECISION SUPPORT METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20240047066A1

    公开(公告)日:2024-02-08

    申请号:US18364577

    申请日:2023-08-03

    CPC classification number: G16H50/20 G16H10/20

    Abstract: A clinical decision support device of an embodiment includes processing circuitry. The processing circuitry acquires at least one of attribute information of a patient and first parameters regarding a first preference category for the patient. The processing circuitry estimates second parameters of the patient with respect to a second preference category on the basis of at least one of the attribute information and the first preference category. The processing circuitry determines preferable selections of the patient with respect to a predetermined preference category on the basis of the second parameters. The processing circuitry displays the preferable selections and the second parameters in association with each other.

    MEDICAL INFORMATION PROCESSING APPARATUS

    公开(公告)号:US20220230363A1

    公开(公告)日:2022-07-21

    申请号:US17571771

    申请日:2022-01-10

    Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured to acquires one or more first images that are images of parts obtained by classifying a subject appearing in a medical image into each part, generates, from the acquired one or more first images, a second image that is an image of the subject spatially continuous according to an anatomical criterion, and synthesizes the generated second image with a background to generate a third image.

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