Multimodal AI Cardiac Management System with Polypus Device
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Solution Overview
Problem
Current cardiac disease management lacks integration and personalization, with existing technologies failing to comprehensively address the complex interdependence of structural and functional variables, leading to inefficient diagnostic and therapeutic approaches.
Innovation Solution
A multiscale AI-driven system that integrates structural and functional data through an AI processor, utilizing a wire mesh model and the Polypus device for personalized cardiac management, enabling comprehensive data analysis and tailored therapeutic interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple diagnostic and therapeutic modalities are used independently, then various cardiac parameters can be measured, but the integrated value and interjunctions of these modalities are not identified
Solution Approach 1:
The patent merges multiple independent diagnostic and therapeutic modalities (imaging, electrical mapping, biochemical testing, genetic testing) into a unified AI-driven platform that processes all data streams simultaneously, enabling identification of interjunctions and summation interactions that were previously lost when modalities were used separately
Solution Approach 2:
The AI-driven platform serves as a universal system that can process diverse data types from multiple modalities and provide comprehensive cardiac management, replacing the need for separate specialized systems and enabling personalized treatment recommendations that consider all modalities together
2Reliability
If standard cardiac interventions are applied, then common cardiac conditions can be treated, but continued decompensation and failure of optimization occur
Solution Approach 1:
The system applies local quality by providing personalized treatment recommendations tailored to each patient's specific cardiac profile, analyzing individual patterns across multiple modalities to determine optimal interventions rather than applying standardized protocols to all patients
Solution Approach 2:
The AI-driven platform enables dynamic adaptation of treatment strategies by continuously analyzing patient data from multiple modalities and adjusting recommendations based on individual response patterns, allowing for real-time optimization rather than static standard interventions
3Ease of manufacture
If simple scale solutions are used to tackle multiscale cardiac problems, then implementation is straightforward, but the solutions are inefficient and fail to address complexity
Solution Approach 1:
The patent replaces simple mechanical or straightforward implementation approaches with an AI-driven computational system that automatically processes complex multiscale cardiac data, substituting manual or simple analytical methods with intelligent algorithms that handle the full complexity of cardiac management efficiently
Data Source
AI summary
This invention pertains to the creation of a system of a comprehensive and integrated multimodal platform utilizing artificial intelligence systems where a multitude of input data is synthesized and a personalized proposal for cardiac management is initiated. This output is mediated through a virtual platform and in addition a physical wire mesh is constructed to the specifications of the virtual mesh and that allows for a variety of applicators at different points of interest to exercise therapeutic or diagnostic interventions with feedback to the AI system. The preferred embodiment of an applicator is the Polypus device that is applied to exert an array of diagnostic and or therapeutic interventions according to different embodiments and according to the virtual and applied to varying points of interest.


