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.


Book Synopsis Machine Learning in Dentistry by : Ching-Chang Ko

Download or read book Machine Learning in Dentistry written by Ching-Chang Ko and published by Springer Nature. This book was released on 2021-07-24 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

ARTIFICIAL INTELLIGENCE IN DENTISTRY

ARTIFICIAL INTELLIGENCE IN DENTISTRY

Author: Priyadharshini D

Publisher:

Published: 2021-10-30

Total Pages: 92

ISBN-13: 9789390850976

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Artificial intelligence(AI), which has been actively functional in various industries and it is in the spotlight for researchers. In dentistry, their application is widely analyzed in various researches, AI is particularly favorable in the field of oral and maxillofacial (OMF) radiology. Artificial intelligence systems in this field have been developed for diagnosis, forensic dentistry, and image analysis. Numerous amounts of data are needed to achieve good results from AI and it is a time-consuming task. With help of the numerous data sets, AI can be further developed for automatic diagnosis and treatment plan suggestions. Dentists' knowledge is a vital factor for AI development.


Book Synopsis ARTIFICIAL INTELLIGENCE IN DENTISTRY by : Priyadharshini D

Download or read book ARTIFICIAL INTELLIGENCE IN DENTISTRY written by Priyadharshini D and published by . This book was released on 2021-10-30 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence(AI), which has been actively functional in various industries and it is in the spotlight for researchers. In dentistry, their application is widely analyzed in various researches, AI is particularly favorable in the field of oral and maxillofacial (OMF) radiology. Artificial intelligence systems in this field have been developed for diagnosis, forensic dentistry, and image analysis. Numerous amounts of data are needed to achieve good results from AI and it is a time-consuming task. With help of the numerous data sets, AI can be further developed for automatic diagnosis and treatment plan suggestions. Dentists' knowledge is a vital factor for AI development.

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

Author: Wojciech Samek

Publisher: Springer Nature

Published: 2019-09-10

Total Pages: 435

ISBN-13: 3030289540

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The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.


Book Synopsis Explainable AI: Interpreting, Explaining and Visualizing Deep Learning by : Wojciech Samek

Download or read book Explainable AI: Interpreting, Explaining and Visualizing Deep Learning written by Wojciech Samek and published by Springer Nature. This book was released on 2019-09-10 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.

Artificial Intelligence in Dentistry

Artificial Intelligence in Dentistry

Author: Kaan Orhan

Publisher: Springer Nature

Published: 2024-02-11

Total Pages: 363

ISBN-13: 3031438272

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This comprehensive book focuses on various aspects of artificial intelligence in dentistry, assisting dentists, specialists, and scientists in advancing their understanding, knowledge, training, and expertise in this field of artificial intelligence. Readers will learn about AI-supported pathways for the diagnosis and treatment of dental caries, periodontal bone loss, impacted teeth, periapical lesions, crown, and root fractures, working length determination, and detecting root and canal morphology, TMJ disorders, detection of obstructive sleep apnea, oral mucosal lesions, and many more. Prediction tasks include the estimation of retreatment needs and third molar eruption. Critical information on applications of AI in the field of Oral and Maxillofacial Radiology, Implants, Endodontics, Prosthodontics, Restorative dentistry, Oral surgery, Periodontics, and Orthodontics. Gain valuable insight into studies applying machine learning based on Machine Learning (ML), Deep Learning (DL), and Artificial Neural Networks (ANN). Explore the technical aspects and medical applications of AI in dentistry. Additionally, discover cutting-edge topics like 3D and bioprinting applications of AI and its integration into dental education. All the chapters provide thorough, evidence-based data on AI and its implications in oral health, bridging the gap between knowledge and practical application. The book explains the advantages, disadvantages, and limitations of AI in dental health. Delve into the medico-legal aspects of AI to navigate this cutting-edge landscape responsibly. Learn about applications of Machine Learning and Artificial Intelligence in the Covid-19 Pandemic. Extensive information on deep learning in image processing, including various types of neural networks, image segmentation, enhancement, reconstruction, and registration. This book concludes with an exploration of AI's exciting potential and future perspectives in the dental field, paving the way for a new era of oral healthcare. Don't miss out on this unique resource for AI in Dentistry, which empowers you to stay at the forefront of innovation and embrace the AI revolution in Dentistry. Be prepared for the future of dentistry.


Book Synopsis Artificial Intelligence in Dentistry by : Kaan Orhan

Download or read book Artificial Intelligence in Dentistry written by Kaan Orhan and published by Springer Nature. This book was released on 2024-02-11 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book focuses on various aspects of artificial intelligence in dentistry, assisting dentists, specialists, and scientists in advancing their understanding, knowledge, training, and expertise in this field of artificial intelligence. Readers will learn about AI-supported pathways for the diagnosis and treatment of dental caries, periodontal bone loss, impacted teeth, periapical lesions, crown, and root fractures, working length determination, and detecting root and canal morphology, TMJ disorders, detection of obstructive sleep apnea, oral mucosal lesions, and many more. Prediction tasks include the estimation of retreatment needs and third molar eruption. Critical information on applications of AI in the field of Oral and Maxillofacial Radiology, Implants, Endodontics, Prosthodontics, Restorative dentistry, Oral surgery, Periodontics, and Orthodontics. Gain valuable insight into studies applying machine learning based on Machine Learning (ML), Deep Learning (DL), and Artificial Neural Networks (ANN). Explore the technical aspects and medical applications of AI in dentistry. Additionally, discover cutting-edge topics like 3D and bioprinting applications of AI and its integration into dental education. All the chapters provide thorough, evidence-based data on AI and its implications in oral health, bridging the gap between knowledge and practical application. The book explains the advantages, disadvantages, and limitations of AI in dental health. Delve into the medico-legal aspects of AI to navigate this cutting-edge landscape responsibly. Learn about applications of Machine Learning and Artificial Intelligence in the Covid-19 Pandemic. Extensive information on deep learning in image processing, including various types of neural networks, image segmentation, enhancement, reconstruction, and registration. This book concludes with an exploration of AI's exciting potential and future perspectives in the dental field, paving the way for a new era of oral healthcare. Don't miss out on this unique resource for AI in Dentistry, which empowers you to stay at the forefront of innovation and embrace the AI revolution in Dentistry. Be prepared for the future of dentistry.

Color and Appearance in Dentistry

Color and Appearance in Dentistry

Author: Alvaro Della Bona

Publisher: Springer Nature

Published: 2020-04-03

Total Pages: 149

ISBN-13: 3030426262

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This book presents the state of the art in color science and explains its application to dental structures and materials, using high-quality illustrations to ensure ease of learning. Most people seek a bright smile with a natural appearance. This goal often poses a great clinical challenge for the dentist, and its achievement is dependent on a good knowledge of color science and optical properties relevant to dentistry. Further, if a smile is to be esthetically improved to the patient’s satisfaction, the dentist must be able to extract the best from dental materials and techniques, must understand all aspects of facial harmony, and must communicate effectively with both the patient and lab technicians. All of these aspects are thoroughly explored in the book, with detailed coverage of such topics as visual and instrumental shade matching, color management, and avoidance of complications and pitfalls. Color and Appearance in Dentistry will be of high value to all who are engaged in the daily practice of esthetic dentistry.


Book Synopsis Color and Appearance in Dentistry by : Alvaro Della Bona

Download or read book Color and Appearance in Dentistry written by Alvaro Della Bona and published by Springer Nature. This book was released on 2020-04-03 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art in color science and explains its application to dental structures and materials, using high-quality illustrations to ensure ease of learning. Most people seek a bright smile with a natural appearance. This goal often poses a great clinical challenge for the dentist, and its achievement is dependent on a good knowledge of color science and optical properties relevant to dentistry. Further, if a smile is to be esthetically improved to the patient’s satisfaction, the dentist must be able to extract the best from dental materials and techniques, must understand all aspects of facial harmony, and must communicate effectively with both the patient and lab technicians. All of these aspects are thoroughly explored in the book, with detailed coverage of such topics as visual and instrumental shade matching, color management, and avoidance of complications and pitfalls. Color and Appearance in Dentistry will be of high value to all who are engaged in the daily practice of esthetic dentistry.

Artificial Intelligence in Dentistry

Artificial Intelligence in Dentistry

Author: Khalid Shaikh

Publisher: Springer Nature

Published: 2022-12-05

Total Pages: 205

ISBN-13: 3031197151

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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.


Book Synopsis Artificial Intelligence in Dentistry by : Khalid Shaikh

Download or read book Artificial Intelligence in Dentistry written by Khalid Shaikh and published by Springer Nature. This book was released on 2022-12-05 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence for Medicine

Artificial Intelligence for Medicine

Author: Yoshiki Oshida

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2021-10-11

Total Pages: 520

ISBN-13: 3110717859

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The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.


Book Synopsis Artificial Intelligence for Medicine by : Yoshiki Oshida

Download or read book Artificial Intelligence for Medicine written by Yoshiki Oshida and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-10-11 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.

Digitization in Dentistry

Digitization in Dentistry

Author: Priyanka Jain

Publisher: Springer Nature

Published: 2021-03-22

Total Pages: 422

ISBN-13: 303065169X

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This book provides evidence-based guidance on the clinical applications of digital dentistry, that is, the use of dental technologies or devices that incorporate digital or computer-controlled components for the performance of dental procedures. Readers will find practically oriented information on the digital procedures currently in use in various fields of dental practice, including, for example, diagnosis and treatment planning, oral radiography, endodontics, orthodontics, implant dentistry, and esthetic dentistry. The aim is to equip practitioners with the knowledge required in order to enhance their daily practice. To this end, a problem-solving approach is adopted, with emphasis on key concepts and presentation of details in a sequential and easy to follow manner. Clear recommendations are set out, and helpful tips and tricks are highlighted. The book is written in a very readable style and is richly illustrated. Whenever appropriate, information is presented in tabular form to provide a ready overview of answers to frequent doubts and questions.


Book Synopsis Digitization in Dentistry by : Priyanka Jain

Download or read book Digitization in Dentistry written by Priyanka Jain and published by Springer Nature. This book was released on 2021-03-22 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides evidence-based guidance on the clinical applications of digital dentistry, that is, the use of dental technologies or devices that incorporate digital or computer-controlled components for the performance of dental procedures. Readers will find practically oriented information on the digital procedures currently in use in various fields of dental practice, including, for example, diagnosis and treatment planning, oral radiography, endodontics, orthodontics, implant dentistry, and esthetic dentistry. The aim is to equip practitioners with the knowledge required in order to enhance their daily practice. To this end, a problem-solving approach is adopted, with emphasis on key concepts and presentation of details in a sequential and easy to follow manner. Clear recommendations are set out, and helpful tips and tricks are highlighted. The book is written in a very readable style and is richly illustrated. Whenever appropriate, information is presented in tabular form to provide a ready overview of answers to frequent doubts and questions.

Artificial Intelligence in Healthcare and Medicine

Artificial Intelligence in Healthcare and Medicine

Author: Kayvan Najarian

Publisher: CRC Press

Published: 2022-04-06

Total Pages: 300

ISBN-13: 1000565815

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This book provides a comprehensive overview of the recent developments in clinical decision support systems, precision health, and data science in medicine. The book targets clinical researchers and computational scientists seeking to understand the recent advances of artificial intelligence (AI) in health and medicine. Since AI and its applications are believed to have the potential to revolutionize healthcare and medicine, there is a clear need to explore and investigate the state-of-the-art advancements in the field. This book provides a detailed description of the advancements, challenges, and opportunities of using AI in medical and health applications. Over 10 case studies are included in the book that cover topics related to biomedical image processing, machine learning for healthcare, clinical decision support systems, visualization of high dimensional data, data security and privacy, bioinformatics, and biometrics. The book is intended for clinical researchers and computational scientists seeking to understand the recent advances of AI in health and medicine. Many universities may use the book as a secondary training text. Companies in the healthcare sector can greatly benefit from the case studies covered in the book. Moreover, this book also: Provides an overview of the recent developments in clinical decision support systems, precision health, and data science in medicine Examines the advancements, challenges, and opportunities of using AI in medical and health applications Includes 10 cases for practical application and reference Kayvan Najarian is a Professor in the Department of Computational Medicine and Bioinformatics, Department of Electrical Engineering and Computer Science, and Department of Emergency Medicine at the University of Michigan, Ann Arbor. Delaram Kahrobaei is the University Dean for Research at City University of New York (CUNY), a Professor of Computer Science and Mathematics, Queens College CUNY, and the former Chair of Cyber Security, University of York. Enrique Domínguez is a professor in the Department of Computer Science at the University of Malaga and a member of the Biomedical Research Institute of Malaga. Reza Soroushmehr is a Research Assistant Professor in the Department of Computational Medicine and Bioinformatics and a member of the Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor.


Book Synopsis Artificial Intelligence in Healthcare and Medicine by : Kayvan Najarian

Download or read book Artificial Intelligence in Healthcare and Medicine written by Kayvan Najarian and published by CRC Press. This book was released on 2022-04-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the recent developments in clinical decision support systems, precision health, and data science in medicine. The book targets clinical researchers and computational scientists seeking to understand the recent advances of artificial intelligence (AI) in health and medicine. Since AI and its applications are believed to have the potential to revolutionize healthcare and medicine, there is a clear need to explore and investigate the state-of-the-art advancements in the field. This book provides a detailed description of the advancements, challenges, and opportunities of using AI in medical and health applications. Over 10 case studies are included in the book that cover topics related to biomedical image processing, machine learning for healthcare, clinical decision support systems, visualization of high dimensional data, data security and privacy, bioinformatics, and biometrics. The book is intended for clinical researchers and computational scientists seeking to understand the recent advances of AI in health and medicine. Many universities may use the book as a secondary training text. Companies in the healthcare sector can greatly benefit from the case studies covered in the book. Moreover, this book also: Provides an overview of the recent developments in clinical decision support systems, precision health, and data science in medicine Examines the advancements, challenges, and opportunities of using AI in medical and health applications Includes 10 cases for practical application and reference Kayvan Najarian is a Professor in the Department of Computational Medicine and Bioinformatics, Department of Electrical Engineering and Computer Science, and Department of Emergency Medicine at the University of Michigan, Ann Arbor. Delaram Kahrobaei is the University Dean for Research at City University of New York (CUNY), a Professor of Computer Science and Mathematics, Queens College CUNY, and the former Chair of Cyber Security, University of York. Enrique Domínguez is a professor in the Department of Computer Science at the University of Malaga and a member of the Biomedical Research Institute of Malaga. Reza Soroushmehr is a Research Assistant Professor in the Department of Computational Medicine and Bioinformatics and a member of the Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor.

Clinical Applications of Digital Dental Technology

Clinical Applications of Digital Dental Technology

Author: Radi Masri

Publisher: John Wiley & Sons

Published: 2015-04-27

Total Pages: 272

ISBN-13: 1118983033

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Digital equipment in all dental practices is commonplace. From digital imaging through electronic recordkeeping, general dentists and specialists are seeing more accurate diagnoses, faster treatment times, and lower costs for equipment. Here in one volume is a comprehensive look at the digital technology available, describing indications, contraindications, advantages, disadvantages, limitations, and applications in the various dental fields. Included are digital imaging, digital impressions, digital operative dentistry, digital prosthodontics, digital implant fabrication and placement, and digital applications in endodontics, orthodontics, and oral surgery. The book is ideal for dental students seeking a reference for digital dental technology and for seasoned practitioners and specialists interested in incorporating digital technology in their daily practice.


Book Synopsis Clinical Applications of Digital Dental Technology by : Radi Masri

Download or read book Clinical Applications of Digital Dental Technology written by Radi Masri and published by John Wiley & Sons. This book was released on 2015-04-27 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital equipment in all dental practices is commonplace. From digital imaging through electronic recordkeeping, general dentists and specialists are seeing more accurate diagnoses, faster treatment times, and lower costs for equipment. Here in one volume is a comprehensive look at the digital technology available, describing indications, contraindications, advantages, disadvantages, limitations, and applications in the various dental fields. Included are digital imaging, digital impressions, digital operative dentistry, digital prosthodontics, digital implant fabrication and placement, and digital applications in endodontics, orthodontics, and oral surgery. The book is ideal for dental students seeking a reference for digital dental technology and for seasoned practitioners and specialists interested in incorporating digital technology in their daily practice.