Oral Cancer and Artificial Intelligence
Transforming Diagnosis, Treatment, and Research
- 1st Edition - March 1, 2026
- Editors: Sujata Dash, Subhendu Kumar Pani, Somenath Chakraborty, Timothy Aladelusi, Ruwan Duminda Jayasinghe
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 4 4 2 3 - 7
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 4 4 2 4 - 4
Transforming Oral Cancer Care: The Role of Artificial Intelligence is an innovative and comprehensive guide that explores the intersection of artificial intelligence (AI) and or… Read more
Transforming Oral Cancer Care: The Role of Artificial Intelligence is an innovative and comprehensive guide that explores the intersection of artificial intelligence (AI) and oral cancer care. This book provides a detailed examination of how AI technologies are revolutionizing the diagnosis, treatment, and management of oral cancer, 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. The book features contributions from leading experts in the fields of AI, oral cancer research, biomedical engineering, and clinical practice from prestigious institutions worldwide. These experts provide valuable insights and share 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, the book offers authoritative perspectives and cutting-edge advancements in the field
- 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
Scholars, scientists, and students in the fields of artificial intelligence, biomedical engineering, oncology, and healthcare technology
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
- Edition: 1
- Published: March 1, 2026
- Language: English
SD
Sujata Dash
Sujata Dash is a Senior Member, IEEE who received the Ph.D. degree in computational modeling from Berhampur University, Orissa, India, in 1995. She is currently an Associate Professor with the P.G. Department of Computer Science and Application, North Orissa University, Baripada, India. She has published more than 150 technical articles in international journals, conferences, and book chapters of reputed publications. She has guided many scholars for their Ph.D. degrees in computer science. She is associated with many professional bodies like IEEE, CSI, ISTE, OITS, OMS, IACSIT, IMS, and IAENG. She is a member of the editorial board of several international journals and also reviewer of many international journals. Her current research interests include machine learning, distributed data mining, bioinformatics, intelligent agent, Web data mining, recommender systems, and image processing.
Affiliations and expertise
Department of Information Technology, School of Engineering and Technology, Nagaland University, IndiaSP
Subhendu Kumar Pani
Dr. Subhendu Kumar Pani received his Ph.D. from Utkal University, Odisha, India in the year 2013. He is working as a professor at Krupajal Engineering College under BPUT, Odisha, India. He has more than 20 years of teaching and research experience His research interests include Data mining, Big Data Analysis, web data analytics, Fuzzy Decision Making and Computational Intelligence. He is the recipient of 5 researcher awards. In addition to research, he has guided two PhD students and 31 M. Tech students. He has published 150 International Journal papers (100 Scopus index). His professional activities include roles as Book Series Editor (CRC Press, Apple Academic Press, Wiley-Scrivener), Associate Editor, Editorial board member and/or reviewer of various International Journals. He is an Associate with no. of the conference societies. He has more than 250 international publications, 5 authored books, 25 edited and upcoming books; 40 book chapters into his account. He is a fellow in SSARSC and a life member in IE, ISTE, ISCA, and OBA.OMS, SMIACSIT, SMUACEE, CSI.
Affiliations and expertise
Krupajal Engineering College, Prashanti Vihar, Near CIFA, Kausalya Ganga, Bhubaneswar, Khordha, Odisha, IndiaSC
Somenath Chakraborty
Dr. Somenath Chakraborty is an Assistant Professor at The West Virginia University Institute of Technology in Beckley, West Virginia, USA. With 11 years of experience in various academic roles, including Lecturer, Assistant Professor, and Principal at multiple government ITIs, he has developed strong research expertise in artificial intelligence, medical image and data processing, machine learning, pattern recognition, and digital image processing. He has authored numerous research journals, conference papers, and book chapters. As an IEEE Senior Member, he is involved with the IEEE Computer Society, IEEE Computational Intelligence Society, and other professional organizations. Additionally, he serves as a reviewer for various IEEE and Springer journals, and is an editor for several publications. Somenath has held leadership roles in the Graduate Student Association for Arts and Sciences at The University of Southern Mississippi. His research interests include machine learning, data science, computer vision, and blockchain technology.
Affiliations and expertise
Assistant Professor, The West Virginia University Institute of Technology in Beckley, West Virginia, USATA
Timothy Aladelusi
Dr Timothy Aladelusi obtained the Bachelor of dental Surgery from the University of Ibadan in 2003 and proceeded to obtained his Masters degree in Anatomy from the same institution in 2008. He had his residency training in Oral and Maxillofacial Surgeon of the West African College of Surgeon at the University College Hospital, Ibadan from June 2006 to Oct 2012. He was awarded the Fellowship of the AOCMF in Craniomaxillofacial Trauma done the Hannover Medical School Germany in 2014. He also received the International association of Oral and Maxillofacial Surgeons Fellowship in Maxillofacial oncology and reconstruction which he did under the tutelage of Prof Zhang Chen Ping at the Ninth People’s Hospital, Shanghai, PRC in 2017/2018. His research interest is maxillofacial trauma, dento-alveolar surgery and maxillofacial oncology and reconstruction. He has over 40 publications in peer reviewed journals.
Affiliations and expertise
University of Ibadan, NigeriaRJ
Ruwan Duminda Jayasinghe
Prof Ruwan Jayasinghe is a health specialist with over 20 years’ experience in teaching, clinical dental practice, scholarly research, and leadership. Prof Jayasinghe has academic/professional qualifications in Dentistry, Oral and Maxillofacial Surgery, Oral Medicine, and Oral Radiology. He has collaborated with multiple national and international institutions/organizations of learning/teaching and research. Prof Jayasinghe has over 150 peer reviewed publications, with several citations. He has received various research grants. He has been recognized for his teaching and research work with multiple wards. Prof Jayasinghe has contributed to the professional associations by holding high ranking positions. He is an editorial board member to multiple journals and is also a referee to 40 prestigious journals.
Affiliations and expertise
University of Sri Lanka, Sri Lanka