Oral Cancer and Artificial Intelligence: Transforming Diagnosis, Treatment, and Research
Editat de Sujata Dash, Subhendu Kumar Pani, Somenath Chakraborty, Timothy Aladelusi, Ruwan Duminda Jayasingheen Limba Engleză Paperback – mai 2026
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.
- Provides an in-depth exploration of AI applications across all stages of oral cancer care, from early detection and diagnosis to treatment planning, prognosis, and patient support
- Features insights and research from leading experts in AI, oral cancer, and biomedical engineering
- Includes real-world case studies and practical guidelines for integrating AI technologies into clinical workflows, making it a valuable resource for healthcare professionals and researchers
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Specificații
ISBN-13: 9780443344237
ISBN-10: 044334423X
Pagini: 320
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 044334423X
Pagini: 320
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Cuprins
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
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