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Artificial intelligence in dentistry

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence in dentistryby Khalid Shaikh ... [et al.].
其他作者:	Shaikh, Khalid.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	ix, 198 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	DentistryData processing.
電子資源:	https://doi.org/10.1007/978-3-031-19715-4
ISBN:	9783031197154$q(electronic bk.)

Artificial intelligence in dentistry
Artificial intelligence in dentistry[electronic resource] /by Khalid Shaikh ... [et al.]. - Cham :Springer International Publishing :2023. - ix, 198 p. :ill. (some col.), digital ;24 cm.

Introduction to Dentistry and Dental Health -- Evolution of Dental Profession -- Prevalent Dental Diseases: Symptoms, Types, Etiology -- Connection between mouth and body - Importance of dental health in general health & well-being -- Advances in Dentistry -- Artificial Intelligence and its Role in Healthcare -- Artificial Intelligence and Machine Learning in Dentistry -- Case Studies.

This book provides an introduction to next-generation applications and technologies for improving diagnostic accuracy and prediction of treatment outcomes in dentistry through the use of artificial intelligence (AI) and machine learning (ML) The authors attempt to bridge the gap between dental research and global health outcomes, as well as provide a comprehensive guide to general and clinical aspects of dental and oral health issues and the etiology, prevalence, assessment, and management of these conditions. This book combines engineering applications and medical healthcare and will be an important reference for researchers, biomedical engineers, dental students, and dental practitioners. Looks at recent advances in dental and oral health; Discusses AI applications in dentistry; Includes case studies.

ISBN: 9783031197154$q(electronic bk.)

Standard No.: 10.1007/978-3-031-19715-4doiSubjects--Topical Terms:

901778
Dentistry
--Data processing.

LC Class. No.: RK240

Dewey Class. No.: 617.60028563

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520 $a This book provides an introduction to next-generation applications and technologies for improving diagnostic accuracy and prediction of treatment outcomes in dentistry through the use of artificial intelligence (AI) and machine learning (ML) The authors attempt to bridge the gap between dental research and global health outcomes, as well as provide a comprehensive guide to general and clinical aspects of dental and oral health issues and the etiology, prevalence, assessment, and management of these conditions. This book combines engineering applications and medical healthcare and will be an important reference for researchers, biomedical engineers, dental students, and dental practitioners. Looks at recent advances in dental and oral health; Discusses AI applications in dentistry; Includes case studies.
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