AI Food Material Analysis System for Personalized Dietary Recommendations
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Solution Overview
Problem
Current medical practices face challenges in accurately analyzing food materials for improving physical conditions or mitigating diseases due to the lack of comprehensive knowledge about food materials and nutrients among medical professionals, and vice versa.
Innovation Solution
An artificial intelligence-based food material analyzing method that calculates ingredient power and index for each inspection item, derives suitable food materials based on these calculations, and provides personalized dietary recommendations by integrating user information with medical data and a food material database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If medical professionals use their specialization knowledge to analyze food materials, then medical diagnosis accuracy is improved, but comprehensive knowledge of food materials and nutrients is insufficient
Solution Approach 1:
The patent introduces an AI-based analysis system as an intermediary between medical professionals and food material databases. The system automatically retrieves comprehensive food material information, calculates ingredient indices, and generates dietary recommendations, thereby bridging the knowledge gap without requiring medical professionals to possess extensive food science expertise.
Solution Approach 2:
The patent replaces manual food material analysis by medical professionals with an automated AI-based system. The system uses algorithms to process medical data, calculate ingredient indices, and derive dietary recommendations, substituting human expertise with computational methods that can comprehensively analyze food materials.
2Loss of information
If food material experts provide comprehensive nutritional analysis, then food material knowledge is improved, but medical knowledge level is insufficient
Solution Approach 1:
The AI-based system serves as an intermediary that combines food material database information with medical data. It automatically integrates nutritional analysis with medical diagnosis criteria, ensuring that dietary recommendations are both nutritionally sound and medically appropriate without requiring food experts to have medical qualifications.
Solution Approach 2:
The patent creates a universal analysis system that performs multiple functions: it analyzes food materials, calculates ingredient indices, generates dietary recommendations, and ensures medical appropriateness. This multi-functional system eliminates the need for individuals to possess both extensive food science knowledge and medical expertise simultaneously.
3Measurement precision
If comprehensive food material analysis is performed manually, then analysis accuracy is improved, but time consumption and complexity increase
Solution Approach 1:
The patent replaces manual food material analysis with an automated AI-based system that uses algorithms to process medical data, retrieve food material information, calculate ingredient indices, and generate recommendations. This automation significantly reduces analysis time while maintaining or improving accuracy through systematic computational methods.
Solution Approach 2:
The system performs preliminary actions by pre-processing medical data, automatically retrieving relevant food material information from databases, and pre-calculating ingredient indices before generating final dietary recommendations. This preliminary processing eliminates time-consuming manual analysis steps while ensuring comprehensive and accurate results.
Data Source
AI summary
The present disclosure relates to an artificial intelligence-based food material analyzing method, which can calculate ingredient power for an inspection item of each ingredient, calculate an ingredient index the sum of ingredient powers for test items with respect to each ingredient, and derive a food material optimized for a living thing on the basis of the calculated ingredient index.