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    A SYSTEM AND METHOD FOR MEDICAL VISIT DOCUMENTATION AUTOMATION AND BILLING CODE SUGGESTION IN CONTROLLED ENVIRONMENTS
    1.
    发明申请
    A SYSTEM AND METHOD FOR MEDICAL VISIT DOCUMENTATION AUTOMATION AND BILLING CODE SUGGESTION IN CONTROLLED ENVIRONMENTS 有权

    公开(公告)号：US20210391046A1

    公开(公告)日：2021-12-16

    申请号：US17286257

    申请日：2019-10-15

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Mladen MILOSEVIC ,  Daniel Jason SCHULMAN ,  Christine Menking SWISHER

    IPC: G16H15/00 ,  G16H10/60 ,  G06F40/58

    Abstract: Various embodiments relate to a method and system for automatically generating a medical document during a medical visit in a controlled environment, the method including the steps of monitoring, by a network monitoring module, a network to capture use of medical equipment connected to the network, detecting, by an atomic action video recognition module, predefined atomic actions in the controlled environment, extracting, by a patient-medical provider conversation recognition module, clinical information from a conversation between a patient and a medical provider, matching, by a visit graph generation module, the use of medical equipment and the predefined atomic actions to an atomic actions and CPT codes database of known uses of medical equipment and predefined atomic actions, generating, by the visit graph generation module, an event graph based on the use of medical equipment, the predefined atomic actions and the extracted clinical information and translating, by a medical document generator, the event graph into a medical document.

    VENIPUNCTURE AND ARTERIAL LINE GUIDANCE VIA SIGNAL VARIATION AMPLIFICATION
    2.
    发明申请
    VENIPUNCTURE AND ARTERIAL LINE GUIDANCE VIA SIGNAL VARIATION AMPLIFICATION 审中-公开

    公开(公告)号：US20200029891A1

    公开(公告)日：2020-01-30

    申请号：US16488789

    申请日：2018-02-21

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Christine Menking SWISHER

    IPC: A61B5/00

    Abstract: A vasculature imaging device includes an optical camera (10), a display (12), an electronic processor (14) connected to operate the optical camera and the display, and a non-transitory storage medium (16) storing instructions (18) readable and executable by the electronic processor to perform a vasculature imaging method (20). That method includes: operating the optical camera to acquire color video; computing a temporal variation of values of pixels of the color video; identifying pixels representing vasculature based on the temporal variation of the values of the pixels; and operating the display to present the color video with highlighting of the pixels representing vasculature. In some embodiments, the vasculature imaging device comprises a cellular telephone (cell phone) or other mobile device (22) with the camera and display being built-in components. The instructions may be an application (app) executable under a mobile operating system (24) run by the mobile device.

    PERSON IDENTIFICATION SYSTEMS AND METHODS
    4.
    发明申请
    PERSON IDENTIFICATION SYSTEMS AND METHODS 有权

    公开(公告)号：US20220036055A1

    公开(公告)日：2022-02-03

    申请号：US17504575

    申请日：2021-10-19

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Christine Menking SWISHER ,  Asif RAHMAN

    IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06K9/32

    Abstract: Techniques disclosed herein relate to identifying individuals in digital images. In some embodiments, a digital image(s) that captures a scene containing one or more people may be acquired. The single digital image may be applied as input across a single machine learning model. In some implementations, the single machine learning model may be trained to perform a non-facial feature recognition task and a face-related recognition task. Output may be generated over the single machine learning model based on the input. The output may include first data indicative of non-facial features of a given person of the one or more people and second data indicative of at least a location of a face of the given person in the digital image relative to the non-facial features. In various embodiments, the given person may be identified based at least in part on the output.

    MACHINE LEARNING ON RAW MEDICAL IMAGING DATA FOR CLINICAL DECISION SUPPORT
    6.
    发明申请
    MACHINE LEARNING ON RAW MEDICAL IMAGING DATA FOR CLINICAL DECISION SUPPORT 有权

    公开(公告)号：US20210174937A1

    公开(公告)日：2021-06-10

    申请号：US16616664

    申请日：2018-05-30

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Christine Menking SWISHER ,  Homer PIEN

    IPC: G16H30/40 ,  G06T11/00 ,  G16H50/20 ,  G06K9/62

    Abstract: Various embodiments of the present disclosure are directed to a raw diagnostic machine for a medical diagnosis of raw medical imaging data generated by a medical imaging machine as opposed to a medical diagnosis of a medical image conventionally reconstructed from the raw medical imaging data. In operation, the raw diagnostic engine includes a medical imaging diagnostic controller implementing a dimension reduction pre-processor for selecting or extracting one or more dimension reduced feature vectors from the raw medical imaging data, and further implementing a raw diagnostic artificial intelligence engine for rendering a diagnostic assessment of the raw medical imaging data as represented by the dimension reduced feature vector(s). The medical imaging diagnostic controller may further control a communication of the diagnostic assessment of the raw medical imaging data (e.g., a display, a printing, an emailing, a texting, etc.).

    FAST AND PERSONALIZED RECOMMENDER SYSTEM FOR RADIATION THERAPY PLANNING ENHANCEMENT VIA CLOSED LOOP PHYSICIAN FEEDBACK
    7.
    发明申请
    FAST AND PERSONALIZED RECOMMENDER SYSTEM FOR RADIATION THERAPY PLANNING ENHANCEMENT VIA CLOSED LOOP PHYSICIAN FEEDBACK 有权

    公开(公告)号：US20210027878A1

    公开(公告)日：2021-01-28

    申请号：US17040119

    申请日：2019-03-14

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： Ze HE ,  Kevin LYONS ,  Gajendra Jung KATUWAL ,  Christine Menking SWISHER

    IPC: G16H20/40 ,  G16H40/20 ,  G16H50/70 ,  A61N5/10

    Abstract: A non-transitory computer-readable medium stores a preferences database (16); instructions readable and executable by at least one electronic processor (20) to perform a proposed radiation treatment plan review process (100), including: via a reviewing graphical user interface (GUI) (28), presenting a proposed radiation treatment plan to a reviewer; via the reviewing GUI, receiving one of (i) an acceptance of the proposed radiation treatment plan or (ii) a rejection of the proposed radiation treatment plan in combination with annotations of the rejected proposed radiation treatment plan from the reviewer; and updating radiation treatment plan preferences of the reviewer stored in the preferences database based on the acceptance of the proposed radiation treatment plan or based on the annotations of the rejected proposed radiation treatment plan; and instructions readable and executable by at least one electronic processor (32) to perform a radiation treatment planning process (200) including: optimizing radiation treatment parameters for a patient with respect to dose objectives and using at least one planning image of a patient to generate one or more candidate radiation treatment plans for the patient; retrieving, from the preferences database to a planning GUI (40), radiation treatment plan preferences of a reviewer associated with the patient; and displaying the radiation treatment plan preferences of the reviewer associated with the patient at the planning GUI.

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