Machine learning in dentistry / Ching-Chang Ko, Dinggang Shen, Li Wang, editors.
Ko, Ching-Chang, editor.; Shen, Dinggang, editor.; Wang, Li, editor.
2021
RK240
Available Online

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Title Machine learning in dentistry / Ching-Chang Ko, Dinggang Shen, Li Wang, editors.
ISBN 9783030718817 (electronic bk.)
3030718816 (electronic bk.)
3030718808
9783030718800
DOI https://doi.org/10.1007/978-3-030-71881-7
Imprint Cham, Switzerland : Springer, 2021.
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-3-030-71881-7 doi
Call Number RK240
Dewey Decimal Classification 617.600285/631
Summary 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.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed August 4, 2021).
Added Author Ko, Ching-Chang, editor.
Shen, Dinggang, editor.
Wang, Li, editor.
Available in Other Form Print version: 9783030718800
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Machine Learning for Dental Imaging: Machine Learning for CBCT Segmentation of Craniofacial 3D Image
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Machine Learning for Diagnosis of Periodontal Diseases
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Machine Learning for Characterization of Craniofacial Anomaly
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Machine Learning for Bone Tissue Engineering. Machine Learning and Dental Designs: Machine Learning for Orthodontic CAD/CAM Technologies
Machine Learning for Design of Dental Implants
Machine Learning for Optimization of Dental Material Processing. Machine Learning Supporting Dental Research: Machine Learning for Data Mining in Teledentistry
Machine Learning for Evidence-Based Literature Search
Machine Learning in Genetics and Genomics
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