AI Symptom Evaluator Architecture
Dual-AI medical analysis system demonstrating temperature effects on medical professionalism. Features OpenAI symptom evaluation with secondary professional assessment by Google Gemini or Claude AI.
Dual-AI Medical Analysis Overview
Data Flow: Patient Input → Medical Analysis (OpenAI) → Professional Evaluation (Google/Claude) → Detailed Scoring & Feedback
Primary Analysis
- OpenAI GPT-4
- Temperature Control (0.1-2.0)
- Medical History Integration
- Age/Sex Contextualization
- Conservative → Chaos Modes
Professional Evaluation
- Google Gemini or Claude AI
- 4-Category Scoring System
- 1-Point Precision (0-100)
- Temperature Penalties
- Medical History Validation
Medical Safety
- Prominent Medical Disclaimers
- Educational Purpose Only
- Professional Consultation Emphasis
- Ethical AI Implementation
- Responsibility-First Design
Technical Achievements
Temperature Scaling
Advanced AI creativity control from Conservative (0.1) to Chaos (2.0) with dynamic prompt adaptation
Medical History Integration
Comprehensive patient context including age, sex, preconditions, and medical background
Granular Scoring
4-category evaluation system with 1-point precision and professional medical standards
Ethical AI Implementation
Responsible design with prominent disclaimers and educational-only positioning
Dual-AI Validation
Secondary evaluation system that penalizes unprofessional content regardless of creativity level
Production Architecture
Robust API integration with error handling, fallback scoring, and JSON parsing resilience
Professional Scoring System
Temperature Penalty System
- Wild/Chaos Modes (≥1.5): Severe penalties for unprofessional medical content
- Excessive Humor: -5 to -15 points per category for inappropriate medical jokes
- Medical History Neglect: -10 to -20 points for ignoring patient background
- Professionalism Focus: Higher scores for appropriate medical tone regardless of creativity
Development Philosophy
Medical Ethics First
Responsible AI with prominent disclaimers and educational-only positioning
Temperature Research
Demonstrates AI creativity vs. professionalism tradeoffs in medical contexts
Dual Validation
Secondary AI evaluation maintains professional standards regardless of creativity
Production Ready
Robust error handling, API resilience, and professional deployment practices
Ready to Experience AI Temperature Effects?
Test how AI creativity impacts medical analysis quality and see professional evaluation standards in action.