AI Vascular Mapping Platform for Stroke Intervention
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Solution Overview
Problem
Current AI technologies in medical imaging for stroke diagnosis and intervention lack precision in identifying vascular anatomy and bifurcation points, leading to potential misdiagnosis and inappropriate treatment, while also facing challenges in coordinating care during healthcare crises like the COVID-19 pandemic.
Innovation Solution
An AI-based vascular mapping and interventional procedure assisting platform that utilizes dynamic flow-based imaging, such as angiograms, and biomarkers to identify vascular anatomy, predict stroke type, and recommend appropriate closure devices, thereby providing accurate vascular mapping and intervention guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If current AI technologies are used for stroke diagnosis and intervention, then diagnostic speed is improved, but precision in identifying vascular anatomy and bifurcation points deteriorates
Solution Approach 1:
The system segments the vascular anatomy identification task into multiple specialized modules: one for identifying vascular anatomy, another for locating bifurcation points, and a third for predicting stroke type. This segmentation allows each module to focus on specific anatomical structures and features, improving overall precision while maintaining speed through parallel processing
Solution Approach 2:
The system transitions from traditional 2D image analysis to 3D volumetric analysis of vascular anatomy. By incorporating three-dimensional spatial information alongside traditional imaging, the system achieves more precise identification of vascular structures and bifurcation points while maintaining diagnostic efficiency
2Manufacturing precision
If AI algorithms are used to predict stroke type, then treatment accuracy is improved, but reliability of diagnosis deteriorates due to potential misdiagnosis
Solution Approach 1:
The system incorporates feedback mechanisms where the predicted stroke type is cross-checked against the identified vascular anatomy and bifurcation points. This feedback loop allows the system to verify consistency between different diagnostic components, reducing misdiagnosis and improving overall reliability while maintaining high treatment accuracy
Solution Approach 2:
The system performs preliminary identification of vascular anatomy and bifurcation points before finalizing the stroke type diagnosis. This preliminary action provides a foundation for more reliable subsequent analysis, as the anatomical structure is already mapped and understood before stroke type prediction occurs
3Measurement precision
If comprehensive vascular mapping is performed, then intervention precision is improved, but device complexity increases
Solution Approach 1:
The system employs a universal AI platform that performs multiple functions: vascular anatomy identification, bifurcation point localization, stroke type prediction, and closure device recommendation. This multi-functionality consolidates what would otherwise require multiple separate systems into a single integrated platform, improving intervention precision while managing device complexity through unified architecture
Solution Approach 2:
The system creates digital copies and three-dimensional representations of vascular anatomy from imaging data. These virtual models serve as precise references for intervention planning without requiring complex physical mapping tools or procedures, thereby improving intervention precision while avoiding the complexity of physical mapping systems
4Measurement precision
If dynamic flow-based imaging is used, then vascular mapping accuracy is improved, but use of energy increases
Solution Approach 1:
The system utilizes dynamic flow-based imaging that captures movement and flow characteristics of blood through vascular structures. This dynamic approach provides superior anatomical information and functional insights compared to static imaging, improving vascular mapping accuracy while managing energy consumption through efficient processing of temporal and spatial data
Data Source
AI summary
An artificial intelligence based vascular mapping and interventional procedure assisting platform configured to identify at least the femoral artery and the bifurcation point of the femoral artery of a patient based upon dynamic imaging of the patient. The platform may be a stroke management tool in which an angiogram and conventional bloodwork can be inputted into the platform and the platform provides one of i) classification of a stroke and stroke prediction; and whether an interventional procedure is indicated and wherein if interventional procedure is indicated then vascular mapping is provided with bifurcation points and the desired access illustrated together with a listing of accepted or counter indicated closure systems that may be used.