ارزیابی تأثیر ناهنجاری‌های اسکلتی (کلاس ۲ و ۳ ) بر میزان خطای تشخیصی هوش مصنوعی در تعیین مراحل تکاملی مهره‌های گردنی

1. Introduction 2. Background on Cervical Vertebrae Development 2.1. Overview of Cervical Vertebrae Anatomy 2.2. Stages of Cervical Vertebrae Development 2.3. Importance in Medical Diagnostics 3. Skeletal Anomalies: Classes 2 and 3 3.1. Definition of Class 2 Anomalies 3.2. Definition of Class 3 Anomalies 3.3. Prevalence and Impact on Health 3.4. Diagnostic Challenges Posed by Anomalies 4. Artificial Intelligence in Medical Imaging 4.1. Role of AI in Medical Diagnostics 4.2. Advances in AI for Radiographic Analysis 4.3. Challenges in AI-based Diagnoses 5. Impact of Skeletal Anomalies on AI Diagnostic Accuracy 5.1. Error Rates in AI Analysis 5.2. Case Studies in Misdiagnosis 5.3. Factors Contributing to Diagnostic Errors 6. Methodology for Assessing AI Diagnostic Performance 6.1. Research Design and Data Collection 6.2. Assessment Tools and Techniques 6.3. Criteria for Evaluating AI Accuracy 7. Results and Discussion 7.1. Findings on AI Diagnostic Accuracy 7.2. Comparative Analysis with Human Diagnostics 7.3. Discussion of Anomalies' Impact on AI 7.4. Limitations and Sources of Error 8. Conclusion and Future Research 8.1. Summary of Key Findings 8.2. Implications for AI Development 8.3. Recommendations for Improved Diagnostic Tools 8.4. Directions for Future Studies