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Oral Cancer and Artificial Intelligence: Transforming Diagnosis, Treatment, and Research

Editat de Sujata Dash, Subhendu Kumar Pani, Somenath Chakraborty, Timothy Aladelusi, Ruwan Duminda Jayasinghe
en Limba Engleză Paperback – mai 2026
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.

  • 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

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