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Full Description
Oral Cancer and Artificial Intelligence: Transforming Diagnosis, Treatment, and Research is a groundbreaking guide that delves into the convergence of AI technology and oral cancer care. This book meticulously examines how artificial intelligence is revolutionizing the way oral cancer is diagnosed, treated, and managed, presenting fresh opportunities to enhance patient outcomes. Organized into ten distinct sections, it covers critical aspects of oral cancer care that benefit from AI advancements. Readers will gain a comprehensive understanding of current innovations and future possibilities in the field, making this book an invaluable resource for anyone invested in improving oral cancer management.
Beyond its detailed exploration of AI's role in diagnosis and treatment, the book includes expert contributions from leaders in AI, oral cancer research, biomedical engineering, and clinical practice globally. Their shared insights and real-world experiences demonstrate the practical impact of AI across various stages of oral cancer care. The book also blends theoretical foundations with practical applications and discusses future trends, offering guidance for researchers, clinicians, healthcare professionals, and students.
Contents
Section I: Introduction to Oral Cancer and AI
1. Oral Cancer Overview
2. Role of Artificial Intelligence in Healthcare
Section II: AI in Early Detection and Screening
3. AI-Enhanced Screening Tools
4. Image Analysis and Pattern Recognition
Section III: AI in Diagnosis
5. AI-Driven Diagnostic Systems
6. Natural Language Processing for Histopathology
Section IV: AI in Treatment Planning and Decision Support
7. AI in Surgical Planning
8. Precision Radiotherapy with AI
9. Chemotherapy and AI-Based Treatment Protocols
Section V: AI in Prognosis and Outcome Prediction
10. AI Models for Prognosis
11. Survival Analysis and Risk Stratification
Section VI: AI in Rehabilitation and Patient Support
12. Post-Treatment AI Applications
13. AI in Quality of Life Assessment
Section VII: Data Management and AI Integration
14. Big Data and AI in Oral Cancer
15. Ethical and Legal Considerations
Section VIII: Emerging AI Technologies and Future Directions
16. Innovations in AI for Oral Cancer
17. Future Trends in AI and Oral Cancer
Section IX: Case Studies and Practical Applications
18. AI in Clinical Practice
19. Practical Implementation of AI Technologies Section X: Conclusion
20. Summary and Outlook
