Leveraging Artificial Intelligence for Early Detection of Oral Cancer in Clinical Dentistry Practice

1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Structure of the Thesis 2. Literature Review 2.1 Overview of Oral Cancer 2.2 Artificial Intelligence in Healthcare 2.3 Current Detection Methods 3. Artificial Intelligence Technologies 3.1 Machine Learning Algorithms 3.2 Deep Learning Techniques 3.3 Data Sources and Preprocessing 4. Methodology 4.1 Research Design 4.2 Data Collection Procedures 4.3 Evaluation Metrics 5. Implementation 5.1 System Architecture Design 5.2 Integration into Clinical Practice 5.3 Software and Tools Used 6. Results and Discussion 6.1 Experimentation and Results 6.2 Comparison with Existing Methods 6.3 Interpretation of Findings 7. Challenges and Limitations 7.1 Technical Challenges 7.2 Clinical Integration Barriers 7.3 Limitations of the Study 8. Conclusion and Future Work 8.1 Summary of Findings 8.2 Implications for Clinical Practice 8.3 Recommendations for Future Research