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1. Introduction 1.1 Problem Statement 1.2 Objective of the Study 1.3 Importance of Research 2. Literature Review 2.1 Historical Overview of Oral Cancers 2.2 AI Development in Healthcare 2.3 Previous Studies on AI in Cancer Detection 3. Research Methodology 3.1 Research Design 3.2 Data Collection Methods 3.3 Analytical Tools and Techniques 4. Artificial Intelligence Techniques 4.1 Machine Learning Applications 4.2 Deep Learning Algorithms 4.3 AI Software and Tools 5. Early Detection Strategies 5.1 Screening Techniques 5.2 Diagnostic Criteria 5.3 Role of Imaging Technologies 6. Impact Analysis 6.1 AI Versus Traditional Methods 6.2 Benefits of Early Detection 6.3 Challenges in AI Implementation 7. Case Studies 7.1 Successful AI Implementations 7.2 Comparative Case Studies 7.3 Lessons Learned from Case Studies 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Recommendations for Healthcare Professionals 8.3 Future Research Directions
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