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1. Introduction 1.1 Background of Personalized Dentistry 1.2 Rise of Artificial Intelligence in Healthcare 1.3 Objectives of the Study 1.4 Structure of the Paper 2. Literature Review 2.1 Overview of Existing Research 2.2 AI Technologies in Dentistry 2.3 Personalized Treatment Plans 2.4 Limitations of Current Studies 3. Methodology 3.1 Research Design 3.2 Data Collection Methods 3.3 Data Analysis Techniques 3.4 Ethical Considerations 4. AI in Diagnostic Procedures 4.1 Role of AI in Early Detection 4.2 Accuracy of AI Diagnoses 4.3 Comparison with Traditional Methods 5. AI-Driven Treatment Personalization 5.1 Algorithms for Treatment Planning 5.2 Patient-Specific Customization 5.3 Case Studies and Examples 6. Benefits and Challenges 6.1 Advantages of AI Integration 6.2 Potential Risks and Limitations 6.3 Addressing Ethical Concerns 7. Future Directions 7.1 Emerging AI Technologies 7.2 Innovations in Personalized Dentistry 7.3 Long-Term Impacts on Practice 8. Conclusion 8.1 Summary of Findings 8.2 Implications for Dentistry 8.3 Recommendations for Further Research
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