Khalid Shaikh,Sreelekshmi Vivek Bekal,Hesham Fathi Ahmed Marei,Walid Shaaban Moustafa Elsayed,Dusan Surdilovic,Lubna Abdel Jawad
Artificial Intelligence in Dentistry
Artificial Intelligence in Dentistry
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- More about Artificial Intelligence in Dentistry
This book introduces AI and ML for improving dental diagnosis and treatment outcomes, bridging dental research and global health outcomes, and providing comprehensive guidance on dental and oral health issues. It is a valuable reference for researchers, biomedical engineers, dental students, and practitioners.
Format: Paperback / softback
Length: 198 pages
Publication date: 06 December 2023
Publisher: Springer International Publishing AG
This book offers a comprehensive introduction to the use of artificial intelligence (AI) and machine learning (ML) in dentistry to enhance diagnostic accuracy and predict treatment outcomes. It aims to bridge the gap between dental research and global health outcomes and provide a comprehensive guide to dental and oral health issues, including their etiology, prevalence, assessment, and management. The book combines engineering applications and medical healthcare and is intended for researchers, biomedical engineers, dental students, and dental practitioners.
The book begins by discussing the history and development of AI and ML in dentistry, highlighting their potential benefits and challenges. It then explores the various applications of AI and ML in dentistry, including image analysis, disease prediction, and personalized treatment planning. The authors provide detailed explanations of these applications, including their algorithms, data sources, and performance metrics.
One of the key strengths of the book is its emphasis on the ethical and social implications of AI and ML in dentistry. The authors discuss the potential for bias and discrimination in AI-based decision-making and provide guidelines for ensuring ethical and responsible use of these technologies. They also highlight the importance of patient engagement and communication in the use of AI and ML in dentistry.
The book also includes several case studies and examples of successful AI and ML applications in dentistry. These case studies demonstrate the real-world impact of these technologies and provide insights into their potential for future development. The authors also provide practical tips and strategies for implementing AI and ML in dental practice, including data collection, training, and validation.
In addition to its technical content, the book also includes a section on the future of AI and ML in dentistry. The authors discuss the potential for AI and ML to revolutionize the field of dentistry, including the development of new diagnostic tools, personalized treatment plans, and remote healthcare delivery. They also highlight the need for continued research and development in this area to ensure that these technologies are safe, effective, and accessible to all patients.
Overall, this book is an essential resource for anyone interested in the use of AI and ML in dentistry. It provides a comprehensive overview of the current state of the field, as well as practical tips and strategies for implementing these technologies in dental practice. The book's emphasis on the ethical and social implications of AI and ML in dentistry is particularly valuable, and it will be of interest to researchers, biomedical engineers, dental students, and dental practitioners alike.
Dimension: 235 x 155 (mm)
ISBN-13: 9783031197178
Edition number: 1st ed. 2023
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