PRESENTATION OF PATIENT INFORMATION FOR CARDIAC BLOOD FLOW PROCEDURES

    公开(公告)号:US20230317248A1

    公开(公告)日:2023-10-05

    申请号:US17999983

    申请日:2021-05-28

    CPC classification number: G16H30/20 A61B34/10 A61B2090/365

    Abstract: Novel tools and techniques are provided for presenting patient information to a user. In some embodiments, a computer system may: receive device data associated with one or more devices configured to perform a cardiac blood flow procedure to provide effective blood flow through a heart and to or from blood vessels of a patient; receive one or more imaging data associated with one or more imaging devices configured to generate images of one or more internal portions of the patient; analyze the device data and the imaging data; map the device data and the imaging data to a multi-dimensional representation of the one or more internal portions of the patient; generate one or more image-based outputs based at least in part on the mapping; and present, using a user experience (“UX”) device, the generated one or more image-based outputs.

    Extended Intelligence for Cardiac Implantable Electronic Device (CIED) Placement Procedures

    公开(公告)号:US20220361954A1

    公开(公告)日:2022-11-17

    申请号:US17700622

    申请日:2022-03-22

    Abstract: Novel tools and techniques are provided for implementing intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem to placement procedures for cardiac implantable electronic device (“CIED”). In various embodiments, a computing system might analyze received one or more first layer input data (i.e., room content-based data) and received one or more second layer input data (i.e., patient and/or tool-based data), and might generate one or more recommendations for guiding a medical professional in performing a CIED placement procedure in a heart of the patient, based at least in part on the analysis, the generated one or more recommendations comprising 3D or 4D mapped guides toward, in, and around the heart of the patient. The computing system might then generate one or more XR images, based at least in part on the generated one or more recommendations, and might present the generated one or more XR images using a UX device.

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