Cardiac Procedure Data Fusion With XR Patient Flow Visualization
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Solution Overview
Problem
Existing medical procedures face challenges due to the separation of surgical tool and imaging data, leading to cognitive overload and complications, particularly in complex operations, without full integration of data analytics, artificial intelligence, and intuitive extended reality implementations.
Innovation Solution
An intelligent assistance ecosystem that integrates surgical tool, imaging, and patient data with data analytics and artificial intelligence, using extended reality for comprehensive 3D or 4D representations, providing guides, navigation, and heads-up displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If surgical tools and imaging data are kept separate, then device complexity is reduced, but medical professional cognitive load increases and procedure reliability decreases
Solution Approach 1:
The patent merges surgical tool data, imaging data, and patient data into a unified integrated system. The surgical instrument shaft includes integrated imaging components and data processing capabilities, allowing real-time fusion of multiple data streams during procedures. This consolidation eliminates the need for separate imaging and surgical systems, reducing cognitive load on medical professionals while improving procedure reliability through synchronized data access.
Solution Approach 2:
The patent introduces an intermediary data processing system that acts as a mediator between surgical tools, imaging devices, and the medical professional. This intermediary layer consolidates and pre-processes data from multiple sources before presentation to the user, managing system complexity while maintaining high reliability through centralized data coordination.
2Reliability
If multiple data streams are integrated, then procedure reliability improves, but device complexity increases
Solution Approach 1:
The patent implements a nested architecture where imaging components, sensors, and data processing units are integrated within the shaft of surgical instruments. The shaft itself serves as a container for multiple functional elements, with each component nested within or adjacent to others. This nesting approach allows multiple data streams to be collected and processed in a hierarchical manner, managing integration complexity through structured organization.
Solution Approach 2:
The patent segments the integrated system into modular functional units distributed along the surgical instrument shaft. Each segment handles specific data types (imaging, sensing, navigation) and processes them locally before integrating with other segments. This segmentation reduces overall data integration complexity by distributing processing tasks rather than requiring a single monolithic integration system.
3Productivity
If real-time data processing is implemented, then productivity increases, but energy consumption increases
Solution Approach 1:
The patent performs preliminary data processing and pre-computation within the surgical instrument shaft before data needs to be displayed or used during the procedure. Imaging data and sensor information are processed in advance to generate ready-to-use visualizations and guidance information, reducing the computational burden during real-time procedure execution. This preliminary action maintains high productivity while lowering peak energy consumption during critical procedure moments.
Data Source
AI summary
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.