Machine Learning in Dentistry is popular PDF and ePub book, written by Ching-Chang Ko in 2021-07-24, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Machine Learning in Dentistry can be Read Online from any device for your convenience.
Machine Learning in Dentistry Book PDF 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.
Detail Book of Machine Learning in Dentistry PDF
- Author : Ching-Chang Ko
- Release : 24 July 2021
- Publisher : Springer Nature
- ISBN : 9783030718817
- Genre : Medical
- Total Page : 186 pages
- Language : English
- PDF File Size : 7,5 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Machine Learning in Dentistry by Ching-Chang Ko, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.