Oral Cancer and Artificial Intelligence

Transforming Diagnosis, Treatment, and Research
Erscheinungsjahr 2026
ISBN: 978-0-443-34423-7
Verlag: Elsevier Science

Buch, Englisch, 320 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

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.

Autoren/Hrsg.

Dash, Sujata

Pani, Subhendu Kumar

Chakraborty, Somenath

Aladelusi, Timothy

Jayasinghe, Ruwan Duminda

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften

Inhaltsverzeichnis

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

Über Autor(innen)

Chakraborty, Somenath
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.

Dash, Sujata
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.

Pani, Subhendu Kumar
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.

Jayasinghe, Ruwan Duminda
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.

Aladelusi, Timothy
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.