Machine Learning in Dentistry

Download or Read eBook Machine Learning in Dentistry PDF written by Ching-Chang Ko and published by Springer Nature. This book was released on 2021-07-24 with total page 186 pages. Available in PDF, EPUB and Kindle.
Machine Learning in Dentistry
Author :
Publisher : Springer Nature
Total Pages : 186
Release :
ISBN-10 : 9783030718817
ISBN-13 : 3030718816
Rating : 4/5 (17 Downloads)

Book Synopsis Machine Learning in Dentistry by : Ching-Chang Ko

Book excerpt: 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.


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