Evolving Role Of Ai And Iomt In The Healthcare Market

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 3030820793
Total Pages : 283 pages
Book Rating : 4.94/5 ( download)

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Download or read book Evolving Role of AI and IoMT in the Healthcare Market written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2022-01-06 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world.

Author : Loveleen Gaur
Publisher : Springer Nature
ISBN 13 : 3031531485
Total Pages : 184 pages
Book Rating : 4.84/5 ( download)

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Download or read book AI and Neuro-Degenerative Diseases written by Loveleen Gaur and published by Springer Nature. This book was released on with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Satya Prakash Yadav
Publisher : John Wiley & Sons
ISBN 13 : 1394242220
Total Pages : 324 pages
Book Rating : 4.21/5 ( download)

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Download or read book Advances in Fuzzy-Based Internet of Medical Things (IoMT) written by Satya Prakash Yadav and published by John Wiley & Sons. This book was released on 2024-04-16 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: ADVANCES IN FUZZY-BASED INTERNET OF MEDICAL THINGS (IOMT) This book explores the latest trends, transitions, and advancements of the Internet of Medical Things whose integration through cloud-hosted software applications adds required intelligence from tools such as medical instruments, scanners, and appliances, enabling fuzzy logic to help medical professionals establish linguistic concepts in deciding diagnosis and prognosis. The main goal of the book is to strengthen medical professionals and caregivers by providing methods for achieving fuzzy logic-based health diagnosis and medication. The health condition and various physical parameters of humans, such as heartbeat rate, sugar level, blood pressure, temperature, and oxygen quality, are captured through a host of multifaceted sensors. Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc. Furthermore, chronic disease management is another vital domain getting increased attention. The distinct advancements in the fuzzy logic field are useful in various advanced medical care functionalities and facilities. The readers will discover: new and innovative features of health care by using fuzzy logic that raises economic efficiency at macro and micro levels; expounds on fuzzy logic techniques used in medical science; describes the evolution of the fuzzy logic paradigm and how it helps physicians decide on diagnosis and prognosis; uncovers how trust management is dealt with between patients and medical officials to help advance the fuzzy logic field; provides case studies, various technology advancements, and practical aspects on the impacts and challenges of fuzzy-based Internet of Medical Things. Audience The book will be read and used by researchers in artificial intelligence, fuzzy logic, medical professionals, caregivers, health administrators, and policymakers.

Author : James Griffin
Publisher : Edward Elgar Publishing
ISBN 13 : 1800376898
Total Pages : 227 pages
Book Rating : 4.92/5 ( download)

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Download or read book The State of Cultural Biology written by James Griffin and published by Edward Elgar Publishing. This book was released on 2023-11-03 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a novel and pragmatic perspective, this timely book critically examines the development of a culture of machinist regulation and questions whether this approach is appropriate in an era of rising biological technologies. Adopting an ontological approach, James Griffin considers how current regulatory frameworks favour digital technology and how this may change in the future.

Author : Shilpa Mahajan
Publisher : John Wiley & Sons
ISBN 13 : 1394196466
Total Pages : 373 pages
Book Rating : 4.63/5 ( download)

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Download or read book Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection written by Shilpa Mahajan and published by John Wiley & Sons. This book was released on 2024-03-22 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTION Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.

Author : Isabel L. Nunes
Publisher : AHFE Conference
ISBN 13 : 1964867304
Total Pages : 360 pages
Book Rating : 4.04/5 ( download)

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Download or read book Human Factors and Systems Interaction written by Isabel L. Nunes and published by AHFE Conference. This book was released on 2024-07-24 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24-27 July 2024.

Author : Jon-Arild Johannessen
Publisher : Taylor & Francis
ISBN 13 : 1040090540
Total Pages : 136 pages
Book Rating : 4.41/5 ( download)

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Download or read book Artificial Intelligence and the Future of Healthcare written by Jon-Arild Johannessen and published by Taylor & Francis. This book was released on 2024-07-19 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of Artificial Intelligence (AI) in the healthcare sector is certain to boost levels of automation and productivity but, paradoxically, it will also increase the availability of “first line competence.” At the same time as demographic trends are affecting demand for health and social care, the technological developments we are seeing make it highly likely that AI will play a decisive role in tackling the challenges our healthcare systems will encounter. This book reveals systemic connections to tackle questions about the potential impact of AI on future challenges in the healthcare sector. Specifically, it develops practical proposals for ways in which AI can be applied to solve these forthcoming issues. It emphasizes the importance of AI in what is known in the literature as human augmentation. The book’s innovative perspective is apparent in the way it challenges conventional wisdom in the context of several pressing questions, such as: • What opportunities and challenges could arise from the application of AI in the healthcare sector? • How can the philosophy of medicine, viewed from a systemic perspective, help us to understand, explain, and resolve some of the future challenges in the healthcare sector? • How could AI affect inclusive employment opportunities for people with disabilities? The book also contains an underlying argument to the effect that the rational approach adopted by economists is perhaps less rational when applied to a healthcare sector that is crying out for more “first line competence.” The primary readership will be academic, but the book will also appeal to policymakers, consultants, HR departments, healthcare stakeholders, and related practitioners.

Author : D. Jude Hemanth
Publisher : Springer Nature
ISBN 13 : 3030639371
Total Pages : 265 pages
Book Rating : 4.72/5 ( download)

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Download or read book Internet of Medical Things written by D. Jude Hemanth and published by Springer Nature. This book was released on 2021-04-13 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book looks at the growing segment of Internet of Things technology (IoT) known as Internet of Medical Things (IoMT), an automated system that aids in bridging the gap between isolated and rural communities and the critical healthcare services that are available in more populated and urban areas. Many technological aspects of IoMT are still being researched and developed, with the objective of minimizing the cost and improving the performance of the overall healthcare system. This book focuses on innovative IoMT methods and solutions being developed for use in the application of healthcare services, including post-surgery care, virtual home assistance, smart real-time patient monitoring, implantable sensors and cameras, and diagnosis and treatment planning. It also examines critical issues around the technology, such as security vulnerabilities, IoMT machine learning approaches, and medical data compression for lossless data transmission and archiving. Internet of Medical Things is a valuable reference for researchers, students, and postgraduates working in biomedical, electronics, and communications engineering, as well as practicing healthcare professionals.

Author : Krishna Kant Singh
Publisher : Academic Press
ISBN 13 : 012823217X
Total Pages : 290 pages
Book Rating : 4.70/5 ( download)

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Download or read book Machine Learning and the Internet of Medical Things in Healthcare written by Krishna Kant Singh and published by Academic Press. This book was released on 2021-04-14 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies

Author : Patrick Siarry
Publisher : Springer Nature
ISBN 13 : 3030752208
Total Pages : 270 pages
Book Rating : 4.00/5 ( download)

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Download or read book The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care written by Patrick Siarry and published by Springer Nature. This book was released on 2021-08-11 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.