Cart 0
Machine Learning in Dentistry
Click to zoom

Share this book

Machine Learning in Dentistry

2021 ed.

Book Details

Format Paperback / Softback
ISBN-10 3030718832
ISBN-13 9783030718831
Edition 2021 ed.
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Jul 26th, 2022
Print length 188 Pages
Weight 444 grams
Dimensions 17.70 x 25.30 x 1.30 cms
Ksh 14,400.00
Werezi Extended Catalogue 0 in stock

Delivery Location

Delivery fee: Select location

Secure
Quality
Fast
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.
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 alldental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.

Get Machine Learning in Dentistry by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has pages.

Shopping Cart

Africa largest book store

Sub Total:
Ebooks

Digital Library
Coming Soon

Our digital collection is currently being curated to ensure the best possible reading experience on Werezi. We'll be launching our Ebooks platform shortly.