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1. Introduction 2. Background and Literature Review 2.1 Historical Overview of Orthodontics 2.2 Evolution of AI in Healthcare 2.3 Current State of AI in Orthodontics 3. AI Technology in Orthodontics 3.1 Types of AI Used 3.2 Role of Machine Learning 3.3 AI Software and Tools 4. Orthodontic Diagnosis with AI 4.1 Accuracy of AI Diagnoses 4.2 Comparison with Traditional Methods 4.3 Benefits and Challenges 5. AI in Treatment Planning 5.1 Automated Treatment Plans 5.2 Precision and Personalization 5.3 Limitation of AI Tools 6. Case Studies and Experiments 6.1 Published Case Studies 6.2 Experimental Results 6.3 Lessons Learned 7. Impact on Orthodontic Practice 7.1 Changes in Clinical Practice 7.2 Cost and Time Efficiency 7.3 Patient Outcomes and Satisfaction 8. Future Directions and Recommendations 8.1 Technological Advancements 8.2 Ethical Considerations 8.3 Recommendations for Practitioners
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