Legal and Ethical Considerations for Dental Hygienists and Assistants
Legal and Ethical Considerations for Dental Hygienists and Assistants

Author: Judith A. Davison

Publisher:

Published: 2000

Total Pages: 406

ISBN-13:

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Dental hygienists and dental assistants need to be aware of current accepted legal processes related to such issues as infection control, insurance, malpractice, liability, and negligence. LEGAL AND ETHICAL CONSIDERATIONS FOR DENTAL HYGIENISTS AND ASSISTANTS provides them with strong theoretical and philosophical information concerning the legal, ethical, and management dilemmas that face the entire dental health team. Real-life examples with expert commentary and follow-up questions illustrate legal situations the dental hygienist or assistant may face.

The Acts and Proceedings
The Acts and Proceedings

Author: Anonymous

Publisher: Wentworth Press

Published: 2019-03-12

Total Pages: 588

ISBN-13: 9781010008064

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This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Evidence-Based Forensic Dentistry
Evidence-Based Forensic Dentistry

Author: Balwant Rai

Publisher: Springer Science & Business Media

Published: 2012-08-20

Total Pages: 198

ISBN-13: 3642289940

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Recent years have witnessed significant advances in forensic odontology. This book presents basic concepts in the field and describes all the standard examination procedures currently employed in the acquisition of dental evidence. Detailed information is provided on the identification of unknown individuals, the application of forensic dentistry in mass disasters and multiple fatality incidents, the role of dental evidence in child abuse investigations, and the analysis of bite mark evidence. Other features of the book are a series of high-profile cases, clear advice on the writing of legal reports, and discussion of the significance of DNA and oral fluid in forensic odontology. The text is supplemented by numerous high-quality figures, many of them in color. This book will be invaluable for dental examiners and pathologists, legal and police science professionals, and dentists who want to use their training and experience in an interesting and challenging way.

Machine Learning in Dentistry
Machine Learning in Dentistry

Author: Ching-Chang Ko

Publisher: Springer Nature

Published: 2021-07-24

Total Pages: 186

ISBN-13: 3030718816

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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.