Artificial Intelligence In Dentistry

This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to “learn”, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.

Artificial intelligence(AI), which has been actively functional in various industries and it is in the spotlight for researchers. In dentistry, their application is widely analyzed in various researches, AI is particularly favorable in the field of oral and maxillofacial (OMF) radiology. Artificial intelligence systems in this field have been developed for diagnosis, forensic dentistry, and image analysis. Numerous amounts of data are needed to achieve good results from AI and it is a time-consuming task. With help of the numerous data sets, AI can be further developed for automatic diagnosis and treatment plan suggestions. Dentists' knowledge is a vital factor for AI development.

This comprehensive book focuses on various aspects of artificial intelligence in dentistry, assisting dentists, specialists, and scientists in advancing their understanding, knowledge, training, and expertise in this field of artificial intelligence. Readers will learn about AI-supported pathways for the diagnosis and treatment of dental caries, periodontal bone loss, impacted teeth, periapical lesions, crown, and root fractures, working length determination, and detecting root and canal morphology, TMJ disorders, detection of obstructive sleep apnea, oral mucosal lesions, and many more. Prediction tasks include the estimation of retreatment needs and third molar eruption. Critical information on applications of AI in the field of Oral and Maxillofacial Radiology, Implants, Endodontics, Prosthodontics, Restorative dentistry, Oral surgery, Periodontics, and Orthodontics. Gain valuable insight into studies applying machine learning based on Machine Learning (ML), Deep Learning (DL), and Artificial Neural Networks (ANN). Explore the technical aspects and medical applications of AI in dentistry. Additionally, discover cutting-edge topics like 3D and bioprinting applications of AI and its integration into dental education. All the chapters provide thorough, evidence-based data on AI and its implications in oral health, bridging the gap between knowledge and practical application. The book explains the advantages, disadvantages, and limitations of AI in dental health. Delve into the medico-legal aspects of AI to navigate this cutting-edge landscape responsibly. Learn about applications of Machine Learning and Artificial Intelligence in the Covid-19 Pandemic. Extensive information on deep learning in image processing, including various types of neural networks, image segmentation, enhancement, reconstruction, and registration. This book concludes with an exploration of AI's exciting potential and future perspectives in the dental field, paving the way for a new era of oral healthcare. Don't miss out on this unique resource for AI in Dentistry, which empowers you to stay at the forefront of innovation and embrace the AI revolution in Dentistry. Be prepared for the future of dentistry.

This book provides an introduction to next-generation applications and technologies for improving diagnostic accuracy and prediction of treatment outcomes in dentistry through the use of artificial intelligence (AI) and machine learning (ML). The authors attempt to bridge the gap between dental research and global health outcomes, as well as provide a comprehensive guide to general and clinical aspects of dental and oral health issues and the etiology, prevalence, assessment, and management of these conditions. This book combines engineering applications and medical healthcare and will be an important reference for researchers, biomedical engineers, dental students, and dental practitioners.

In the past few years, artificial intelligence (AI) has received enormous attention and it has evolved to being one of the main drivers of not only modern life, through Siri, Alexa, using Google, etc. but also medicine. Throughout business, AI and associated innovations are increasingly widespread and are starting to be applied to the healthcare. [1] These technologies are capable of changing many aspects of healthcare, as well as administrative structures within hospitals, payers and pharmaceutical organizations. Although it is a new technology, AI has been increasingly utilized in different medical specialties to diagnose conditions, interpret results, and help healthcare providers to achieve good treatment outcomes.

This book presents the state of the art in color science and explains its application to dental structures and materials, using high-quality illustrations to ensure ease of learning. Most people seek a bright smile with a natural appearance. This goal often poses a great clinical challenge for the dentist, and its achievement is dependent on a good knowledge of color science and optical properties relevant to dentistry. Further, if a smile is to be esthetically improved to the patient’s satisfaction, the dentist must be able to extract the best from dental materials and techniques, must understand all aspects of facial harmony, and must communicate effectively with both the patient and lab technicians. All of these aspects are thoroughly explored in the book, with detailed coverage of such topics as visual and instrumental shade matching, color management, and avoidance of complications and pitfalls. Color and Appearance in Dentistry will be of high value to all who are engaged in the daily practice of esthetic dentistry.

“The educational needs must drive the development of the appropriate technology”. They should not be viewed as toys for enthusiasts. Nevertheless, the human element must never be dismissed. Scientific research will continue to offer exciting technologies and effective treatments. The technologies of modern science have astonished and intrigued our imagination.

Artificial intelligence(AI), which has been actively functional in various industries and it is in the spotlight for researchers. In dentistry, their application is widely analyzed in various researches, AI is particularly favorable in the field of oral and maxillofacial (OMF) radiology. Artificial intelligence systems in this field have been developed for diagnosis, forensic dentistry, and image analysis. Numerous amounts of data are needed to achieve good results from AI and it is a time-consuming task. With help of the numerous data sets, AI can be further developed for automatic diagnosis and treatment plan suggestions. Dentists' knowledge is a vital factor for AI development.