Machine Learning in Dentistry
Machine Learning in Dentistry
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Description
This book provides a comprehensive review of machine learning applications within contemporary dentistry, focusing on imaging, oral diagnosis, treatment planning, and dental research. It explores how artificial intelligence and big data techniques enhance precision patient care by improving perception and clinical decision-making. Readers gain insights into various machine learning tools and their practical implementation across different dental specialties, alongside an analysis of current challenges. This resource is essential for dental practitioners and researchers seeking to leverage advanced technology in their work.
| Author | Ching-Chang Ko, Dinggang Shen, Li Wang |
| Format | |
| Language | English |
| Publication Year | 2021 |
| Page Count | 186 pages |
| File Size | 8 MB |
| Print ISBN | 9783030718800 |
| e-Book ISBN | 9783030718817 |
Description
Description
This book provides a comprehensive review of machine learning applications within contemporary dentistry, focusing on imaging, oral diagnosis, treatment planning, and dental research. It explores how artificial intelligence and big data techniques enhance precision patient care by improving perception and clinical decision-making. Readers gain insights into various machine learning tools and their practical implementation across different dental specialties, alongside an analysis of current challenges. This resource is essential for dental practitioners and researchers seeking to leverage advanced technology in their work.
| Author | Ching-Chang Ko, Dinggang Shen, Li Wang |
| Format | |
| Language | English |
| Publication Year | 2021 |
| Page Count | 186 pages |
| File Size | 8 MB |
| Print ISBN | 9783030718800 |
| e-Book ISBN | 9783030718817 |
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