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Author: Karthick, G.S.
Publisher: IGI Global
ISBN: 1668489147
Category : Medical
Languages : en
Pages : 549
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Book Description
Blockchain and artificial intelligence (AI) techniques play a crucial role in dealing with large amounts of heterogeneous, multi-scale, and multi-modal data coming from the internet of things (IoT) infrastructures. Therefore, further discussion on how the fusion of blockchain, IoT, and AI allows the design of models, mathematical models, methodologies, algorithms, evaluation benchmarks, and tools to address challenging problems related to health informatics, healthcare, and wellbeing is required. Contemporary Applications of Data Fusion for Advanced Healthcare Informatics covers the integration of IoT and AI to tackle applications in smart healthcare and discusses the efficient means to collect, monitor, control, optimize, model, and predict healthcare data using blockchain, AI, and IoT. The book also considers the advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. Covering key topics such as disruptive technology, electronic health records, and medical data, this premier reference source is ideal for computer scientists, nurses, doctors, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Author: Karthick, G.S.
Publisher: IGI Global
ISBN: 1668489147
Category : Medical
Languages : en
Pages : 549
Get Book Here
Book Description
Blockchain and artificial intelligence (AI) techniques play a crucial role in dealing with large amounts of heterogeneous, multi-scale, and multi-modal data coming from the internet of things (IoT) infrastructures. Therefore, further discussion on how the fusion of blockchain, IoT, and AI allows the design of models, mathematical models, methodologies, algorithms, evaluation benchmarks, and tools to address challenging problems related to health informatics, healthcare, and wellbeing is required. Contemporary Applications of Data Fusion for Advanced Healthcare Informatics covers the integration of IoT and AI to tackle applications in smart healthcare and discusses the efficient means to collect, monitor, control, optimize, model, and predict healthcare data using blockchain, AI, and IoT. The book also considers the advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. Covering key topics such as disruptive technology, electronic health records, and medical data, this premier reference source is ideal for computer scientists, nurses, doctors, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Author: Smarandache, Florentin
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 602
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Book Description
In today's data-rich environment, traditional decision-making methods often fail to address the complexities of real-world challenges, especially under conditions of uncertainty and ambiguity. Advanced computational frameworks like neutrosophic and plithogenic theories provide innovative solutions for more nuanced analysis and effective decision-making. These methodologies support better outcomes in areas like knowledge management, economics, and strategic planning by accommodating multiple criteria and incomplete information. By leveraging these sophisticated tools, decision-makers can enhance their ability to adapt to complex scenarios. This shift is crucial for advancing research and technology in a rapidly evolving landscape. Modern SuperHyperSoft Computing Trends in Science and Technology explores the use of advanced computational theories, such as neutrosophic, plithogenic, and SuperHyperSoft set theories, to enhance decision-making processes across various scientific and technological fields. It features contributions that apply these frameworks to complex problems. Covering topics such as artificial intelligence (AI), quality assessment, and wastewater treatment, this book is an excellent resource for students, faculty, researchers, engineers, decision-makers, and more.
Author: Özgür Polat, Leyla
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 516
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Book Description
As the healthcare industry continues to rely on data to enhance patient outcomes and streamline operations, artificial intelligence (AI) becomes a powerful tool for complex dataset analysis using improved speed and accuracy. From predictive modeling in disease outbreak management to personalized treatment plans for individual patient profiles, AI technologies are reshaping clinical decision-making and resource allocation. Harnessing the potential of machine learning and advanced analytics may allow healthcare providers to uncover insights that drive innovation, improve patient care, and optimize operational efficiency. AI-Driven Innovation in Healthcare Data Analytics explores the intersection of AI and healthcare data analytics. It examines the application of AI-driven techniques, including machine learning, deep learning, and data mining, in addressing complex challenges in healthcare management. This book covers topics such as data science, medical diagnosis, and patient care, and is a useful resource for healthcare professionals, data scientists, computer engineers, business owners, academicians, and researchers.
Author: A. Jose Anand
Publisher: John Wiley & Sons
ISBN: 1394242492
Category : Computers
Languages : en
Pages : 516
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Book Description
Artificial Intelligence-Based System Models in Healthcare provides a comprehensive and insightful guide to the transformative applications of AI in the healthcare system. This book is a groundbreaking exploration of the synergies between artificial intelligence and healthcare innovation. In an era where technological advancements are reshaping the landscape of medical practices, this book provides a comprehensive and insightful guide to the transformative applications of AI in healthcare systems. From conceptual foundations to practical implementations, the book serves as a roadmap for understanding the intricate relationships between AI-based system models and the evolution of healthcare delivery. The first section delves into the fundamental role of technology in reshaping the healthcare landscape. With a focus on daily life activities, decision support systems, vision-based management, and semantic frameworks, this section lays the groundwork for understanding the pivotal role of AI in revolutionizing traditional healthcare approaches. Each chapter offers a unique perspective, emphasizing the intricate integration of technology into healthcare ecosystems. The second section takes a deep dive into specific applications of AI, ranging from predictive analysis and machine learning to deep learning, image analysis, and biomedical text processing. With a focus on decision-making support systems, this section aims to demystify the complex world of AI algorithms in healthcare, offering valuable insights into their practical implications and potential impact on patient outcomes. The final section addresses the modernization of healthcare practices and envisions the future landscape of AI applications. From medical imaging and diagnostics to predicting ventilation needs in intensive care units, modernizing health record maintenance, natural language processing, chatbots for medical inquiries, secured health insurance management, and glimpses into the future, the book concludes by exploring the frontiers of AI-driven healthcare innovations. Audience This book is intended for researchers and postgraduate students in artificial intelligence and the biomedical and healthcare sectors. Medical administrators, policymakers and regulatory specialists will also have an interest.
Author: Djakeli, Kakhaber
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 301
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Book Description
Modern Healthcare Marketing in the Digital Era, edited by Kakhaber Djakeli from the International Black Sea University, Georgia, is a comprehensive guide that addresses the critical challenge of transforming healthcare marketing strategies in the dynamic landscape of the digital era. With innovative technologies like artificial intelligence, augmented reality, blockchain, and mobile applications reshaping the healthcare industry, this book offers practical insights and innovative methodologies to create a consumer-centric health culture. Healthcare professionals, policymakers, and marketers will find valuable guidance in bridging the gap between technology and marketing, enabling them to thrive in this ever-evolving landscape. Through its exploration of historical developments, the status, and the evolution of needs and demands in healthcare markets, the book equips readers with the tools they need to navigate the complexities of modern healthcare marketing. It covers essential topics such as patient segmentation, customer relationship management, and the integration of virtual and augmented reality in healthcare marketing and sales. By providing real-world examples and empirical research findings, Modern Healthcare Marketing in the Digital Era serves as a practical roadmap for transforming healthcare services, fostering patient-clinic partnerships, and enhancing health literacy through effective marketing efforts. With its valuable insights, this book is a vital resource for students, educators, healthcare professionals, policymakers, and researchers, empowering them to embrace digital innovations and cultivate a consumer-centric health culture for superior patient care and satisfaction.
Author: Rajappan, Roopa Chandrika
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 428
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Book Description
Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.
Author: Khang, Alex
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 585
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Book Description
In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.
Author: Siva Subramanian, R.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 311
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Book Description
In the ever-changing world of engineering, the confluence of Augmented Reality (AR) and Virtual Reality (VR) promises a revolutionary frontier; one that has the potential to remodel the fundamental fabric of our designed world. As our society approaches the genesis of a new age, the need for the study of this bourgeoning technology becomes clear. If harnessed properly, AR and VR have the capacity to revolutionize basic aspects of engineering methods. The combination of AR and VR can tackle the rising difficulties that engineers encounter in their design processes by providing improved tools for visualization and conceptualization. Navigating the Augmented and Virtual Frontiers in Engineering, is a thorough examination of the transformational impact of AR and VR in the vast field of engineering. This book explores the fundamental concepts, practical applications, and significant consequences of incorporating AR and VR technology into numerous engineering disciplines. It provides a comprehensive knowledge of how these immersive technologies are used in design processes, training simulations, maintenance procedures, and collaborative engineering projects. Covering topics such as asset management, geographic analysis, and sustainability, this book is an excellent resource for engineers, researchers, technological developers, postgraduate students, educators, academicians, and more.
Author: Gomathi Sankar, Jeganathan
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 418
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Book Description
The business world today is changing at a breakneck pace. Traditional management practices need help keeping up with the uncertainties and complexities of the digital age. Leaders face a lot of pressure to innovate, adapt, and drive transformative change within their organizations. However, they need more than just conventional wisdom to navigate this terrain. A deep understanding of emerging technologies like artificial intelligence (AI) and their practical applications in management is essential. Generative AI for Transformational Management offers a compelling solution to these challenges. This book provides a roadmap for leveraging AI to drive organizational transformation by exploring the intersection of generative AI and visionary leadership. By examining real-world case studies and practical applications, readers can learn how AI can be integrated into leadership practices to promote innovation and proactive decision-making and effectively navigate the complexities of the digital age.
Author: D. Jude Hemanth
Publisher: Elsevier
ISBN: 0443240485
Category : Science
Languages : en
Pages : 266
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Book Description
Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems explores the potential benefits and applications of emerging technologies such as metaverse and AoT in the field of healthcare. The book provides insights into how these technologies can be leveraged to improve the efficiency, effectiveness, and quality of medical systems. It explores the concept of metaverse and its potential applications in healthcare, including the use of virtual and augmented reality technologies for medical education, training, and simulation, as well as the development of immersive environments for patient care and therapy. The book also delves into the field of AoT, such as the use of wearable devices, smart sensors, and other connected technologies to monitor patient health, track medical outcomes, and inform clinical decision-making. Integrating both technologies can help improve medical training, diagnosis, treatment, and patient outcomes through the use of virtual reality and real-time data analytics. - Features research methods, data analysis techniques, and best practices related to the implementation of Metaverse and Analytics of Things (AoT) in medical systems - Provides practical guidance and recommendations on how healthcare organizations can adopt and implement Metaverse and Analytics of Things (AoT) in their operations - Includes case studies and real-world examples of how healthcare organizations have successfully leveraged technology and data analytics to improve patient care and operational efficiency
