Evaluating Neural Network Approaches for Personalized Medicine in Artificial Intelligence-Driven Healthcare Systems

1. Introduction 1.1 Background of Personalized Medicine 1.2 Role of Artificial Intelligence 1.3 Objectives and Scope 2. Literature Review 2.1 Neural Network Models in Healthcare 2.2 Advances in Personalized Medicine 2.3 AI-Driven Healthcare System Frameworks 3. Neural Networks Fundamentals 3.1 Architecture and Types 3.2 Training and Optimization Techniques 3.3 Evaluation Metrics and Performance 4. AI in Personalized Medicine 4.1 Data-Driven Decision Making 4.2 Predictive Modeling and Analysis 4.3 Patient-Specific Treatment Plans 5. Methodology 5.1 Research Design 5.2 Data Collection Techniques 5.3 Analytical Tools and Software 6. Results 6.1 Comparative Analysis of Approaches 6.2 Model Performance and Outcomes 6.3 Case Studies 7. Discussion 7.1 Implications for Healthcare Systems 7.2 Limitations and Challenges 7.3 Future Research Directions 8. Conclusion 8.1 Summary of Findings 8.2 Recommendations for Implementation 8.3 Final Thoughts on the Impact