Role Of Artificial Intelligence In Dentistry Current Applications And Future Perspectives PDF Download
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| Author | : Dr Seema Jabeen |
| Publisher | : Perfect Writer Publishing |
| Total Pages | : 207 |
| Release | : 2024-05-14 |
| Genre | : Antiques & Collectibles |
| ISBN | : 9360818771 |
Download Role of Artificial Intelligence in Dentistry: Current applications and future perspectives Book in PDF, ePub and Kindle
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.
| Author | : Wojciech Samek |
| Publisher | : Springer Nature |
| Total Pages | : 435 |
| Release | : 2019-09-10 |
| Genre | : Computers |
| ISBN | : 3030289540 |
Download Explainable AI: Interpreting, Explaining and Visualizing Deep Learning Book in PDF, ePub and Kindle
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.
| Author | : Ching-Chang Ko |
| Publisher | : Springer Nature |
| Total Pages | : 186 |
| Release | : 2021-07-24 |
| Genre | : Medical |
| ISBN | : 3030718816 |
Download Machine Learning in Dentistry Book in PDF, ePub and Kindle
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.
| Author | : John McCarthy |
| Publisher | : Intellect L & D E F A E |
| Total Pages | : 256 |
| Release | : 1998 |
| Genre | : Technology & Engineering |
| ISBN | : 9781871516494 |
Download Formalizing Common Sense Book in PDF, ePub and Kindle
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.
| Author | : Markus D. Dubber |
| Publisher | : Oxford University Press |
| Total Pages | : 1000 |
| Release | : 2020-06-30 |
| Genre | : Law |
| ISBN | : 0190067411 |
Download Oxford Handbook of Ethics of AI Book in PDF, ePub and Kindle
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."
| Author | : Instabooks Ai |
| Publisher | : Independently Published |
| Total Pages | : 0 |
| Release | : 2023-12-09 |
| Genre | : |
| ISBN | : |
Download Dental AI Revolution Book in PDF, ePub and Kindle
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
| Author | : Ilker Ozsahin |
| Publisher | : Bentham Science Publishers |
| Total Pages | : 316 |
| Release | : 2021-11-18 |
| Genre | : Computers |
| ISBN | : 168108872X |
Download Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare Book in PDF, ePub and Kindle
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.
| Author | : Kunal Pal |
| Publisher | : Elsevier |
| Total Pages | : 632 |
| Release | : 2024-06-03 |
| Genre | : Science |
| ISBN | : 0443153922 |
Download Advances in Artificial Intelligence Book in PDF, ePub and Kindle
Artificial Intelligence in health care has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals such as electrocardiogram (ECG/ EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, nerve conduction, etc., and for bio-imaging modalities, such as Computed Tomography (CT), Cone-Beam Computed Tomography (CBCT), MRI (Magnetic Resonance Imaging), etc. Advancements in Artificial intelligence and big data has increased the development of innovative medical devices in health care applications. Recent Advances in Artificial Intelligence: Medical Applications provides an overview of artificial intelligence in biomedical applications including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in biomedical field including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, as well as develop AI-based medical devices. Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used Provides an understanding of the design of experiments to validate the developed algorithms Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
Download Artificial Intelligence in Healthcare Book in PDF, ePub and Kindle
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
| Author | : Erik R. Ranschaert |
| Publisher | : Springer |
| Total Pages | : 373 |
| Release | : 2019-01-29 |
| Genre | : Medical |
| ISBN | : 3319948784 |
Download Artificial Intelligence in Medical Imaging Book in PDF, ePub and Kindle
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
