Oral Cancer and Artificial Intelligence: Transforming Diagnosis, Treatment, and Research explores the intersection of artificial intelligence (AI) and oral cancer care. Sections detail how AI technologies are revolutionizing and evolving diagnosis, treatment, and management, offering new hope and improved outcomes for patients. The book is structured into ten well-defined sections, each addressing a critical aspect of oral cancer care enhanced by AI. It features contributions from leading experts in the fields of AI, oral cancer research, biomedical engineering, and clinical practice from prestigious, worldwide institutions who share valuable insights and their experiences in applying AI to transform oral cancer care.
This book is an essential resource for researchers, clinicians, healthcare professionals, and students interested in the transformative potential of AI in oral cancer care. It offers a blend of theoretical knowledge, practical applications, and future directions, making it a comprehensive guide to understanding and leveraging AI to improve outcomes in oral cancer management.
1. Section I. Introduction to oral cancer and AI - p. S1 2. 1. Oral cancer overview - p. 3 3. 2. Role of artificial intelligence in healthcare - p. 17 4. Section II. AI in early detection and screening - p. S2 5. 3. AI-enhanced screening tools: Innovations and challenges in oral cancer detection - p. 35 6. 4. Image analysis and pattern recognition - p. 51 7. Section III. AI in diagnosis - p. S3 8. 5. AI-driven diagnostic systems - p. 71 9. 6. Natural language processing for histopathology - p. 95 10. Section IV. AI in treatment planning and decision support - p. S4 11. 7. Artificial Intelligence in surgical planning - p. 105 12. 8. Precision radiotherapy in the era of artificial intelligence and big data analytics - p. 125 13. 9. Chemotherapy and artifical intelligence-based treatment protocols - p. 141 14. Section V. AI in prognosis and outcome prediction - p. S5 15. 10. Artificial intelligence in the prognosis of oral cancer - p. 157 16. 11. Survival analysis and risk stratification - p. 171 17. Section VI. AI in rehabilitation and patient support - p. S6 18. 12. Post-treatment AI applications - p. 193 19. 13. Artificial intelligence in quality of life (QOL) assessment for oral cancer patients - p. 223 20. Section VII. Data management and AI integration - p. S7 21. 14. Big data and AI in oral cancer - p. 243 22. 15. Ethical and legal consideration associated with AI use - p. 277 23. Section VIII. Emerging AI technologies and future directions - p. S8 24. 16. Innovations in oral cancer management enabled by artificial intelligence (AI) - p. 305 25. 17. Future trends in AI and oral cancer - p. 323 26. Section IX. Case studies and practical applications - p. S9 27. 18. AI in clinical practices - p. 343 28. 19. Practical implementation of AI technologies in oral cancer - p. 359 29. Section X. Conclusion - p. S10 30. 20. Summary and outlook - p. 383 31. Index - p. 409
Oral Cancer and Artificial Intelligence: Transforming Diagnosis, Treatment, and Research explores the intersection of artificial intelligence (AI) and oral cancer care. Sections detail how AI technologies are revolutionizing and evolving diagnosis, treatment, and management, offering new hope and improved outcomes for patients. The book is structured into ten well-defined sections, each addressing a critical aspect of oral cancer care enhanced by AI. It features contributions from leading experts in the fields of AI, oral cancer research, biomedical engineering, and clinical practice from prestigious, worldwide institutions who share valuable insights and their experiences in applying AI to transform oral cancer care.
This book is an essential resource for researchers, clinicians, healthcare professionals, and students interested in the transformative potential of AI in oral cancer care. It offers a blend of theoretical knowledge, practical applications, and future directions, making it a comprehensive guide to understanding and leveraging AI to improve outcomes in oral cancer management.
1. Section I. Introduction to oral cancer and AI - p. S1 2. 1. Oral cancer overview - p. 3 3. 2. Role of artificial intelligence in healthcare - p. 17 4. Section II. AI in early detection and screening - p. S2 5. 3. AI-enhanced screening tools: Innovations and challenges in oral cancer detection - p. 35 6. 4. Image analysis and pattern recognition - p. 51 7. Section III. AI in diagnosis - p. S3 8. 5. AI-driven diagnostic systems - p. 71 9. 6. Natural language processing for histopathology - p. 95 10. Section IV. AI in treatment planning and decision support - p. S4 11. 7. Artificial Intelligence in surgical planning - p. 105 12. 8. Precision radiotherapy in the era of artificial intelligence and big data analytics - p. 125 13. 9. Chemotherapy and artifical intelligence-based treatment protocols - p. 141 14. Section V. AI in prognosis and outcome prediction - p. S5 15. 10. Artificial intelligence in the prognosis of oral cancer - p. 157 16. 11. Survival analysis and risk stratification - p. 171 17. Section VI. AI in rehabilitation and patient support - p. S6 18. 12. Post-treatment AI applications - p. 193 19. 13. Artificial intelligence in quality of life (QOL) assessment for oral cancer patients - p. 223 20. Section VII. Data management and AI integration - p. S7 21. 14. Big data and AI in oral cancer - p. 243 22. 15. Ethical and legal consideration associated with AI use - p. 277 23. Section VIII. Emerging AI technologies and future directions - p. S8 24. 16. Innovations in oral cancer management enabled by artificial intelligence (AI) - p. 305 25. 17. Future trends in AI and oral cancer - p. 323 26. Section IX. Case studies and practical applications - p. S9 27. 18. AI in clinical practices - p. 343 28. 19. Practical implementation of AI technologies in oral cancer - p. 359 29. Section X. Conclusion - p. S10 30. 20. Summary and outlook - p. 383 31. Index - p. 409
