Shopping cart
Your cart empty!
Terms of use dolor sit amet consectetur, adipisicing elit. Recusandae provident ullam aperiam quo ad non corrupti sit vel quam repellat ipsa quod sed, repellendus adipisci, ducimus ea modi odio assumenda.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Dolor sit amet consectetur adipisicing elit. Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Sit amet consectetur adipisicing elit. Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Do you agree to our terms? Sign up
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.
Comments