METHOD FOR HOSPITAL VISIT GUIDANCE FOR MEDICAL TREATMENT FOR ACTIVE THYROID EYE DISEASE, AND SYSTEM FOR PERFORMING SAME

    公开(公告)号:US20230013792A1

    公开(公告)日:2023-01-19

    申请号:US17945270

    申请日:2022-09-15

    Abstract: According to the present application, provided is a computer-implemented method of predicting a clinical activity score for conjunctival hyperemia. The method described in the present application includes: training a conjunctival hyperemia prediction model using a training set; acquiring a first image include at least one eye of a subject and an outer region of an outline of the at least one eye; outputting, by the conjunctival hyperemia prediction model executing on a processor, a first predicted value for a conjunctival hyperemia, a first predicted value for the conjunctival edema, a first predicted value for an eyelid redness, a first predicted value for an eyelid edema, and a first predicted value for a lacrimal edema; and generating a score for the conjunctival hyperemia based on the selected first predicted value for a conjunctival hyperemia.

    METHOD OF MONITORING DISEASE OF PATIENT ON BASIS OF HEART RATE INFORMATION AND SERVER FOR PERFORMING SAME

    公开(公告)号:US20250049336A1

    公开(公告)日:2025-02-13

    申请号:US18891656

    申请日:2024-09-20

    Abstract: Proposed is a method of monitoring diseases of a user on the basis of heart rate information obtained by a wearable device. The method includes obtaining type information of the wearable device and the heart rate information, generating disease monitoring information using the heart rate information through a disease monitoring module when the type information corresponds to a reference type, generating standardized heart rate information using the heart rate information through a heart rate information standardization module and generating the disease monitoring information using the standardized heart rate information through the disease monitoring module when the type information does not correspond to the reference type, and outputting the disease monitoring information.

    Method for hospital visit guidance for medical treatment for active thyroid eye disease, and system for performing same

    公开(公告)号:US11741610B2

    公开(公告)日:2023-08-29

    申请号:US17945270

    申请日:2022-09-15

    Abstract: According to the present application, provided is a computer-implemented method of predicting a clinical activity score for conjunctival hyperemia. The method described in the present application includes: training a conjunctival hyperemia prediction model using a training set; acquiring a first image include at least one eye of a subject and an outer region of an outline of the at least one eye; outputting, by the conjunctival hyperemia prediction model executing on a processor, a first predicted value for a conjunctival hyperemia, a first predicted value for the conjunctival edema, a first predicted value for an eyelid redness, a first predicted value for an eyelid edema, and a first predicted value for a lacrimal edema; and generating a score for the conjunctival hyperemia based on the selected first predicted value for a conjunctival hyperemia.

    METHOD FOR HOSPITAL VISIT GUIDANCE FOR MEDICAL TREATMENT FOR ACTIVE THYROID EYE DISEASE, AND SYSTEM FOR PERFORMING SAME

    公开(公告)号:US20230005144A1

    公开(公告)日:2023-01-05

    申请号:US17939040

    申请日:2022-09-07

    Abstract: According to the present application, a computer-implemented method of predicting thyroid eye disease is disclosed. The method comprising: preparing a conjunctival hyperemia prediction model, a conjunctival edema prediction model, a lacrimal edema prediction model, an eyelid redness prediction model, and an eyelid edema prediction model, obtaining a facial image of an object, obtaining a first processed image and a second processed image from the facial image, wherein the first processed image is different from the second processed image, obtaining predicted values for each of a conjunctival hyperemia, a conjunctival edema and a lacrimal edema by applying the first processed image to the conjunctival hyperemia prediction model, the conjunctival edema prediction model, and the lacrimal edema prediction model, and obtaining predicted values for each of an eyelid redness and an eyelid edema by applying the second processed image to the eyelid redness prediction model and the eyelid edema prediction model.

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