Multidimensional Health Data Model for Anatomic Tracking

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Solution Overview

Problem

Current medical record systems lack the ability to precisely and accurately describe, visualize, and track anatomic sites or health findings using language models, vision-language models, and other data models, leading to disjointed record systems with precision and reproducibility issues due to the absence of a unified model that integrates language, encodings, and vision across multidimensional space and time for anatomy and health data.

Innovation Solution

A system that employs a coordinated language model engine combining language models, vision-language models, and language-vision models to process and visualize health data, allowing for real-time dynamic anatomic site descriptions, translations, and encoding, enabling simultaneous communication and documentation across different languages and anatomical hierarchies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a unified model integrating language, encodings, and vision across multidimensional space and time is implemented, then measurement precision and reliability of anatomic site descriptions improve, but device complexity increases

Engineering Contradiction:

Improveprecision of anatomic site descriptionsVSAvoidcomplexity of unified model system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The unified model is segmented into distinct components: language models for text processing, vision-language models for multimodal integration, and language-vision models for image analysis. Each component handles specific aspects of anatomic site description, allowing the system to achieve high precision while managing complexity through modular architecture.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system incorporates multidimensional space and time dimensions into the model architecture, enabling precise tracking of anatomic sites across different spatial coordinates and temporal points. This dimensional expansion allows comprehensive description of health findings while maintaining system organization through structured dimensional frameworks.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If multiple data models (language, vision-language, language-vision) are integrated into a unified system, then adaptability and versatility of health data processing improve, but device complexity increases

Engineering Contradiction:

Improveversatility of health data processingVSAvoidcomplexity of integrated model system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The unified model system is designed with universal components that can process multiple types of health data including text descriptions, images, and multimodal combinations. The same architectural framework handles diverse data types through specialized modules, enabling versatile processing while avoiding the need for entirely separate systems for each data type.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

Vision-language models serve as intermediary components that bridge language models and language-vision models, facilitating seamless integration between different data processing pathways. These intermediary models translate between modalities, allowing the system to handle diverse health data formats through a coordinated multi-model architecture.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If real-time dynamic anatomic site descriptions and translations are enabled, then productivity of communication and documentation improves, but use of energy increases

Engineering Contradiction:

Improvespeed of communication and documentationVSAvoidenergy consumption of processing system

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary processing of health data including pre-computation of anatomic site descriptions and translation models before real-time communication is needed. By preparing these computational resources in advance, the system can deliver rapid real-time descriptions without consuming excessive energy during critical communication moments.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The unified model system employs periodic updates and batch processing for non-critical data transformations, interspersed with rapid real-time processing for urgent communications. This periodic action pattern allows the system to maintain high productivity for time-sensitive tasks while managing energy consumption through less intensive periodic background processing.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS20230368878A1Systems and methods using multidimensional language and vision models and maps to categorize, describe, coordinate, and track anatomy and health data

Publication Date: 2023.11.16 MOFAIP LLC

AI summary

The disclosed embodiments relate to building and applying multidimensional language and vision models and maps to categorize, label and track anatomy and health and other data. Language models are used to accurately, precisely, and reproducibly describe and translate anatomy and health data into any coded, linguistic, or symbolic language. Vision-language models are used to describe, document, associate, categorize, diagnose, track, translate, map, and visualize anatomy and other health data such as morphology and symptoms and treatment recommendations. Language-vision models are used to describe, document, associate, categorize, diagnose, track, summarize, relate, translate, map, and visualize anatomy and other health data such as morphology and symptoms and treatment recommendations and regimens.