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

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.

Sujata Dash holds the position of Professor at the Information Technology School of Engineering and Technology, Nagaland University, Dimapur Campus, Nagaland, India, bringing more than three decades of dedicated service in teaching and mentoring students. She has been honoured with the prestigious Titular Fellowship from the Association of Commonwealth Universities, United Kingdom. As a testament to her global contributions, she served as a visiting professor in the Computer Science Department at the University of Manitoba, Canada. With a prolific academic record, she has authored over 200 technical papers published in esteemed international journals, and conference proceedings, and edited book chapters by reputed publishers Serving as a reviewer and Associate Editor for approximately 15 international journals.

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.

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.

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.

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.