System and method for use of treatment device to reduce pain medication dependency

    公开(公告)号:US12249410B2

    公开(公告)日:2025-03-11

    申请号:US17397385

    申请日:2021-08-09

    Abstract: Systems, methods, and computer-readable mediums for modifying, by an artificial intelligence engine, a treatment plan for optimizing patient outcome and pain levels during treatment sessions. The system includes, in one implementation, a treatment apparatus, a patient interface, and a computing device. The treatment apparatus is configured to be manipulated by a patient while the patient performs the treatment sessions. The computing device is configured to receive the treatment plan for the patient and treatment data pertaining to the patient. The computing device is also configured to receive patient input from the patient interface correlating with the pain levels of the patient. The computing device is further configured to use the treatment plan, the treatment data, and the patient input to generate at least one threshold. Responsive to an occurrence of exceeding the at least one threshold, the computing device is configured to modify the treatment plan.

    System and method for using AI, machine learning and telemedicine for long-term care via an electromechanical machine

    公开(公告)号:US12224052B2

    公开(公告)日:2025-02-11

    申请号:US18217365

    申请日:2023-06-30

    Abstract: A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on the attribute data and a first health issue of the user, a selected set of the attribute data, the first health issue corresponding to a first long-term care health issue of the user, determine, based on the selected set of the attribute data, a first probability associated with treating the first health issue, generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability, and modify, based on at least one of the first probability and a second probability, the treatment plan. The second probability is associated with treating a second health issue of the user. A treatment apparatus is configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

    Systems and methods of using artificial intelligence and machine learning in a telemedical environment to predict user disease states

    公开(公告)号:US11915816B2

    公开(公告)日:2024-02-27

    申请号:US18176050

    申请日:2023-02-28

    Inventor: Steven Mason

    CPC classification number: G16H20/30 A63B24/0062 G16H50/30 A63B2024/0065

    Abstract: Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, treatment plans for optimizing a user outcome. The method comprises receiving attribute data associated with a user. The attribute data comprises one or more symptoms associated with the user. The method also comprises, while the user uses a treatment apparatus to perform a first treatment plan for the user, receiving measurement data associated with the user. The method further comprises generating, by the artificial intelligence engine configured to use one or more machine learning models, a second treatment plan for the user. The generating is based on at least the attribute data associated with the user and the measurement data associated with the user. The second treatment plan comprises a description of one or more predicted disease states of the user. The method also comprises transmitting, to a computing device, the second treatment plan for the user.

    SYSTEM AND METHOD FOR FACILITATING CARDIAC REHABILITATION AMONG ELIGIBLE USERS

    公开(公告)号:US20230395232A1

    公开(公告)日:2023-12-07

    申请号:US18451500

    申请日:2023-08-17

    CPC classification number: G16H20/30

    Abstract: A computer-implemented method for facilitating cardiac rehabilitation among eligible users is disclosed. The method includes the steps of (1) receiving health information associated with a user; (2) determining, based on the health information, whether the user is eligible for cardiac rehabilitation, wherein the cardiac rehabilitation uses an electromechanical machine; and (3) in response to determining the user is eligible for cardiac rehabilitation, generating a treatment plan for the user, wherein the treatment plan pertains to a cardiac rehabilitation that is specific to the user, and the treatment plan comprises use of the electromechanical machine.

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