Project Abstract

Abstract
The utilization of artificial intelligence (AI) in the field of dentistry has shown promising results, particularly in the area of diagnosing dental diseases. This research project aims to investigate the effectiveness and efficiency of AI technology in the accurate diagnosis of various dental conditions. The study focuses on analyzing the potential benefits and challenges associated with implementing AI-based systems in dental clinics and healthcare facilities. Chapter One Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objectives of Study 1.5 Limitations of Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the Research 1.9 Definition of Terms

Chapter Two Literature Review

2.1 Overview of Artificial Intelligence in Dentistry 2.2 Applications of AI in Dental Diagnostics 2.3 Studies on AI-Based Dental Disease Diagnosis 2.4 Benefits and Challenges of AI in Dentistry 2.5 Current Trends and Developments in AI for Dental Diagnoses 2.6 Ethical and Legal Considerations of AI Implementation in Dentistry 2.7 Comparison of AI Systems with Traditional Diagnostic Methods 2.8 Patient Acceptance and Trust in AI Diagnosis 2.9 Factors Influencing the Adoption of AI in Dental Practices 2.10 Future Prospects and Research Directions in AI Dentistry

Chapter Three Research Methodology

3.1 Research Design 3.2 Data Collection Methods 3.3 Selection of AI Models and Algorithms 3.4 Training and Testing Procedures 3.5 Evaluation Metrics for AI Diagnostic Accuracy 3.6 Sample Population and Data Sources 3.7 Ethical Considerations and Data Privacy 3.8 Statistical Analysis Techniques

Chapter Four Discussion of Findings

4.1 Performance Evaluation of AI Models 4.2 Comparative Analysis with Traditional Diagnostic Methods 4.3 Impact of AI on Diagnostic Accuracy and Efficiency 4.4 User Experience and Acceptance of AI Systems 4.5 Challenges and Limitations Encountered During Implementation 4.6 Recommendations for Improving AI-based Diagnoses 4.7 Implications for Clinical Practice and Healthcare Policy

Chapter Five Conclusion and Summary

In conclusion, the research findings suggest that the use of artificial intelligence in diagnosing dental diseases holds significant promise in enhancing diagnostic accuracy and efficiency in dental care settings. Despite the challenges and limitations identified, the overall benefits of AI technology in dentistry outweigh the drawbacks. The study highlights the importance of further research and development in this area to optimize the implementation of AI systems for improved patient outcomes and healthcare delivery in dentistry. Keywords Artificial Intelligence, Dental Diseases, Diagnosis, Healthcare, Technology, Machine Learning, Dentistry, AI Models, Clinical Practice, Accuracy.

Project Overview