Role of Artificial Intelligence in Dentistry: Current applications and future perspectives

Role of Artificial Intelligence in Dentistry: Current applications and future perspectives

Author: Dr Seema Jabeen

Publisher: Perfect Writer Publishing

Published: 2024-05-14

Total Pages: 207

ISBN-13: 9360818771

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In the past few years, artificial intelligence (AI) has received enormous attention and it has evolved to being one of the main drivers of not only modern life, through Siri, Alexa, using Google, etc. but also medicine. Throughout business, AI and associated innovations are increasingly widespread and are starting to be applied to the healthcare. [1] These technologies are capable of changing many aspects of healthcare, as well as administrative structures within hospitals, payers and pharmaceutical organizations. Although it is a new technology, AI has been increasingly utilized in different medical specialties to diagnose conditions, interpret results, and help healthcare providers to achieve good treatment outcomes.


Book Synopsis Role of Artificial Intelligence in Dentistry: Current applications and future perspectives by : Dr Seema Jabeen

Download or read book Role of Artificial Intelligence in Dentistry: Current applications and future perspectives written by Dr Seema Jabeen and published by Perfect Writer Publishing. This book was released on 2024-05-14 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past few years, artificial intelligence (AI) has received enormous attention and it has evolved to being one of the main drivers of not only modern life, through Siri, Alexa, using Google, etc. but also medicine. Throughout business, AI and associated innovations are increasingly widespread and are starting to be applied to the healthcare. [1] These technologies are capable of changing many aspects of healthcare, as well as administrative structures within hospitals, payers and pharmaceutical organizations. Although it is a new technology, AI has been increasingly utilized in different medical specialties to diagnose conditions, interpret results, and help healthcare providers to achieve good treatment outcomes.

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.

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.

Formalizing Common Sense

Formalizing Common Sense

Author: John McCarthy

Publisher: Intellect L & D E F A E

Published: 1998

Total Pages: 256

ISBN-13: 9781871516494

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Extending over a period of 30 years, this is a collection of papers written by John McCarthy on artificial intelligence. They range from informal surveys written for a general audience to technical discussions of challenging research problems that should be of interest to specialists.


Book Synopsis Formalizing Common Sense by : John McCarthy

Download or read book Formalizing Common Sense written by John McCarthy and published by Intellect L & D E F A E. This book was released on 1998 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extending over a period of 30 years, this is a collection of papers written by John McCarthy on artificial intelligence. They range from informal surveys written for a general audience to technical discussions of challenging research problems that should be of interest to specialists.

Oxford Handbook of Ethics of AI

Oxford Handbook of Ethics of AI

Author: Markus D. Dubber

Publisher: Oxford University Press

Published: 2020-06-30

Total Pages: 1000

ISBN-13: 0190067411

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This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."


Book Synopsis Oxford Handbook of Ethics of AI by : Markus D. Dubber

Download or read book Oxford Handbook of Ethics of AI written by Markus D. Dubber and published by Oxford University Press. This book was released on 2020-06-30 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

Deep Learning for Medical Decision Support Systems

Deep Learning for Medical Decision Support Systems

Author: Utku Kose

Publisher: Springer Nature

Published: 2020-06-17

Total Pages: 185

ISBN-13: 981156325X

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This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.


Book Synopsis Deep Learning for Medical Decision Support Systems by : Utku Kose

Download or read book Deep Learning for Medical Decision Support Systems written by Utku Kose and published by Springer Nature. This book was released on 2020-06-17 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.

Dental AI Revolution

Dental AI Revolution

Author: Instabooks Ai

Publisher: Independently Published

Published: 2023-12-09

Total Pages: 0

ISBN-13:

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Dental AI Revolution: Transforming Practice with Artificial Intelligence in Dentistry Step into the future of dental care with Dental AI Revolution, a seminal work analyzing the transformative power of artificial intelligence in the dental profession. Written for clinicians, patients, and staff, this insightful work navigates the integration of AI in dentistry, detailing both the possibilities and the advantages, and addressing the challenges openly with expert precision. Each chapter is rich with anonymized examples drawn from genuine clinical experiences, offering readers a confidential yet comprehensive look into AI applications. As AI becomes a staple of modern dental practices, this book serves as a clarion call to the emerging era, reminding practitioners of the importance of expert consultation in leveraging these innovative technologies. The book's positive professional tone encourages openness to advancement while maintaining ethical integrity and upholding patient safety. Discover how AI can assist you in delivering exceptional care, streamline operations, and enhance patient outcomes. Chapter highlights include: Real-world applications of AI in routine dental care Implications for patient experiences and outcomes In-depth analysis of cutting-edge AI technologies in dentistry Grab your copy of Dental AI Revolution now and be a part of shaping the future of dentistry in an AI-driven world! Table of Contents 1. Introduction to AI in Dentistry - Defining Artificial Intelligence - History of AI in Dental Care - The Current Landscape 2. AI and Clinical Decision-Making - Data-Driven Diagnostics - Predictive Analytics for Prevention - Case Studies: AI Successes 3. The Patient Experience Redefined - Personalized Patient Care - AI in Patient Education - Improving Satisfaction with AI 4. AI in Dental Practice Management - Robotic Process Automation - Efficiency in Appointment Scheduling - Streamlining Administrative Tasks 5. Advancing Dental Procedures with AI - Precision in Dental Surgery - Restorative Dentistry and AI - Innovations in Orthodontics 6. AI Impacts on Dental Staff and Teams - Training and Skill Development - Job Transformation - Staff Well-being and AI Tools 7. Overcoming AI Implementation Challenges - Addressing Technical Hurdles - Ethical Considerations - Resistance to Change 8. AI, Ethics, and Patient Privacy - Anonymity and Data Security - Informed Consent in AI Era - Regulatory Compliance 9. AI as a Tool for Patient Engagement - Interactive AI Systems - Empowering Patients with Information - Virtual Health Assistance 10. The Economic Perspective of Dental AI - Cost-Benefit Analysis - AI Investment and ROI - Market Trends and Predictions 11. Future Outlook of AI in Dentistry - Emerging AI Technologies - Potential Disruptions - Preparing for What's Next 12. Conclusion: Embracing the AI Era in Dentistry - The Road Ahead - Continuous Learning and Development - The Role of Expert Consultation


Book Synopsis Dental AI Revolution by : Instabooks Ai

Download or read book Dental AI Revolution written by Instabooks Ai and published by Independently Published. This book was released on 2023-12-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dental AI Revolution: Transforming Practice with Artificial Intelligence in Dentistry Step into the future of dental care with Dental AI Revolution, a seminal work analyzing the transformative power of artificial intelligence in the dental profession. Written for clinicians, patients, and staff, this insightful work navigates the integration of AI in dentistry, detailing both the possibilities and the advantages, and addressing the challenges openly with expert precision. Each chapter is rich with anonymized examples drawn from genuine clinical experiences, offering readers a confidential yet comprehensive look into AI applications. As AI becomes a staple of modern dental practices, this book serves as a clarion call to the emerging era, reminding practitioners of the importance of expert consultation in leveraging these innovative technologies. The book's positive professional tone encourages openness to advancement while maintaining ethical integrity and upholding patient safety. Discover how AI can assist you in delivering exceptional care, streamline operations, and enhance patient outcomes. Chapter highlights include: Real-world applications of AI in routine dental care Implications for patient experiences and outcomes In-depth analysis of cutting-edge AI technologies in dentistry Grab your copy of Dental AI Revolution now and be a part of shaping the future of dentistry in an AI-driven world! Table of Contents 1. Introduction to AI in Dentistry - Defining Artificial Intelligence - History of AI in Dental Care - The Current Landscape 2. AI and Clinical Decision-Making - Data-Driven Diagnostics - Predictive Analytics for Prevention - Case Studies: AI Successes 3. The Patient Experience Redefined - Personalized Patient Care - AI in Patient Education - Improving Satisfaction with AI 4. AI in Dental Practice Management - Robotic Process Automation - Efficiency in Appointment Scheduling - Streamlining Administrative Tasks 5. Advancing Dental Procedures with AI - Precision in Dental Surgery - Restorative Dentistry and AI - Innovations in Orthodontics 6. AI Impacts on Dental Staff and Teams - Training and Skill Development - Job Transformation - Staff Well-being and AI Tools 7. Overcoming AI Implementation Challenges - Addressing Technical Hurdles - Ethical Considerations - Resistance to Change 8. AI, Ethics, and Patient Privacy - Anonymity and Data Security - Informed Consent in AI Era - Regulatory Compliance 9. AI as a Tool for Patient Engagement - Interactive AI Systems - Empowering Patients with Information - Virtual Health Assistance 10. The Economic Perspective of Dental AI - Cost-Benefit Analysis - AI Investment and ROI - Market Trends and Predictions 11. Future Outlook of AI in Dentistry - Emerging AI Technologies - Potential Disruptions - Preparing for What's Next 12. Conclusion: Embracing the AI Era in Dentistry - The Road Ahead - Continuous Learning and Development - The Role of Expert Consultation

Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare

Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare

Author: Ilker Ozsahin

Publisher: Bentham Science Publishers

Published: 2021-11-18

Total Pages: 316

ISBN-13: 168108872X

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This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and practical examples (influenza epidemiology and retinoblastoma treatment analysis). Key Features: - Introduces readers to the basics of AI and ML in expert systems for healthcare - Focuses on a problem solving approach to the topic - Provides information on relevant decision-making theory and data science used in the healthcare industry - Includes practical applications of AI and ML for advanced readers - Includes bibliographic references for further reading The reference is an accessible source of knowledge on multi-criteria decision-support systems in healthcare for medical consultants, healthcare policy makers, researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.


Book Synopsis Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare by : Ilker Ozsahin

Download or read book Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare written by Ilker Ozsahin and published by Bentham Science Publishers. This book was released on 2021-11-18 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and practical examples (influenza epidemiology and retinoblastoma treatment analysis). Key Features: - Introduces readers to the basics of AI and ML in expert systems for healthcare - Focuses on a problem solving approach to the topic - Provides information on relevant decision-making theory and data science used in the healthcare industry - Includes practical applications of AI and ML for advanced readers - Includes bibliographic references for further reading The reference is an accessible source of knowledge on multi-criteria decision-support systems in healthcare for medical consultants, healthcare policy makers, researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.

Dentistry

Dentistry

Author: Kirti Chawla

Publisher: Nova Science Publishers

Published: 2021

Total Pages: 330

ISBN-13: 9781536190885

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"This book focuses on the future direction of dental research in every discipline. In this context, dental research must be deliverable to society, not just to churn out scientific publications but to truly change protocols applied in the clinic. Most of the topics covered in this book discuss the current trends and future advances in clinical dentistry as well as dental research. The book covers advances in research, future perspectives and challenges faced in different disciplines of dentistry. Various chapters discuss the recent advances in materials, methods and diagnostics, as well as their future implications. The contents review the applications of big data, artificial intelligence and machine learning in various branches of dentistry like orthodontics, prosthodontics, periodontics, pediatric dentistry, endodontics and oral and maxillofacial surgery. With the world moving into the digital age and advancing technology, we have collated the latest developments in the field of dental research"--


Book Synopsis Dentistry by : Kirti Chawla

Download or read book Dentistry written by Kirti Chawla and published by Nova Science Publishers. This book was released on 2021 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the future direction of dental research in every discipline. In this context, dental research must be deliverable to society, not just to churn out scientific publications but to truly change protocols applied in the clinic. Most of the topics covered in this book discuss the current trends and future advances in clinical dentistry as well as dental research. The book covers advances in research, future perspectives and challenges faced in different disciplines of dentistry. Various chapters discuss the recent advances in materials, methods and diagnostics, as well as their future implications. The contents review the applications of big data, artificial intelligence and machine learning in various branches of dentistry like orthodontics, prosthodontics, periodontics, pediatric dentistry, endodontics and oral and maxillofacial surgery. With the world moving into the digital age and advancing technology, we have collated the latest developments in the field of dental research"--

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare

Author: Adam Bohr

Publisher: Academic Press

Published: 2020-06-21

Total Pages: 385

ISBN-13: 0128184396

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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data


Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data