Description: 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.Brief description:
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.