Revolutionizing Healthcare Systems With Next Generation Technologies The Role Of Artificial Intelligence Cloud Infrastructure And Big Data In Driving Patient Centric Innovation
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Revolutionizing Healthcare Systems With Next Generation Technologies The Role Of Artificial Intelligence Cloud Infrastructure And Big Data In Driving Patient Centric Innovation
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Author : Karthik Chava
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-06
Revolutionizing Healthcare Systems With Next Generation Technologies The Role Of Artificial Intelligence Cloud Infrastructure And Big Data In Driving Patient Centric Innovation written by Karthik Chava and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
In the ever-evolving landscape of global healthcare, the convergence of Artificial Intelligence (AI), Cloud Infrastructure, and Big Data is reshaping how care is delivered, diseases are detected, and patient outcomes are improved. This book, Revolutionizing Healthcare Systems with Next-Generation Technologies: The Role of Artificial Intelligence, Cloud Infrastructure, and Big Data in Driving Patient-Centric Innovation, seeks to explore how these transformative technologies are enabling a shift from reactive to proactive, from generalized to personalized, and from fragmented to integrated healthcare systems. The vision for this work emerged from the growing realization that traditional models of care are no longer sufficient in addressing the complexities of modern medicine. Healthcare providers today must respond to an expanding population, an explosion of health data, and an increasing demand for more accessible, affordable, and individualized care. AI-driven diagnostics, predictive analytics powered by big data, and scalable cloud platforms have become essential tools in this transformation—making healthcare not only smarter but also more compassionate and responsive to individual needs. This book is designed for a wide audience—from researchers, practitioners, and policymakers to technology innovators and students. It offers a comprehensive view of how next-gen technologies are being deployed across healthcare sectors including clinical decision-making, hospital operations, disease surveillance, remote patient monitoring, and precision medicine. It highlights successful implementations, emerging challenges, and ethical considerations, while emphasizing the need for a human-centered approach in tech-driven care. As we look toward the future, this work serves as both a roadmap and a call to action—urging stakeholders to embrace innovation, build interoperable systems, and ensure that the benefits of these technologies reach every patient, regardless of geography or income. With thoughtful collaboration between technologists, clinicians, and communities, we believe that the next revolution in healthcare is not only possible—it is already underway.
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications
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Author : Jayesh Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-10
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications written by Jayesh Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Computers categories.
At a time when artificial intelligence (AI) and machine learning (ML) are used to make sensitive societal decisions such as the ones related to criminal justice, healthcare, finance, education, employment, algorithmic fairness and bias mitigation are among the most important but challenging issues at hand. The goal of this book is to provide a holistic view across various disciplines of the ethical base, detection methods, and technical measures for trustworthy AI systems. Starting from a solid foundation of statistical bias, transparency systems and fairness-aware ML models, this book methodically looks at state-of-the-art methodologies, where we highlight their shortcomings and introduce a unified model framework for detecting bias and transparent algorithms. Moving beyond technical diagnoses, it examines key sociotechnical and policy tools that are required to implement AI responsibly, providing guidance to researchers, engineers, policy makers, and organizational leaders. Literature review has been driven following the experimental case, the fairness trade-offs, intersectional bias, explainability and regulatory compliance are discussed in depth by the authors. This work underscores that fairness in automated decision-making systems depends not only on algorithmic accuracy, but also institutional will and stakeholder engagement. The chapters in this book function as both an academic primer and a resourceful handbook, transitioning readers through an ever-growing ethical AI terrain. Whether you are a data scientist building and deploying an algorithm that encourages ethical speech, or a regulator working to create and refine guidelines around such algorithms, this book provides you with both the tools and the understanding you need for ethical technology development and deployment.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
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
Human Centric Integration Of Next Generation Data Science And Blockchain Technology
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Author : Amit Kumar Tyagi
language : en
Publisher: Academic Press
Release Date : 2025-03-17
Human Centric Integration Of Next Generation Data Science And Blockchain Technology written by Amit Kumar Tyagi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Science categories.
Human- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms focuses on the current technological landscape, addressing the evolving integration of data science and blockchain within the context of Society 5.0. This comprehensive resource explains the convergences between data science, blockchain, and the human-centric vision of Society 5.0, while also filling the gap in understanding and navigating this transformative intersection with recent shifts towards more decentralized and data-driven paradigms.The book introduces the concept of Society 5.0, examining the historical context, and outlines the evolving technological landscape shaping our interconnected future. It discusses the fundamental principles of data science, from data collection and preprocessing to exploratory data analysis and explains the transformative impact of data science and blockchain across industries such as healthcare, finance, education, and transportation. This book is essential to understanding and shaping the future of technology and society from decentralized solutions to predictive analytics/ emerging technologies. - Addresses the evolving integration of data science and blockchain within the context of Society 5.0 - Introduces the basic architecture and taxonomy of blockchain technology - Explores the future urban lives under the concept of "Society 5.0", characterized by the key phrases of data-driven society and knowledge-intensive society - Offers a firm foundation and understanding of recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management
Health 4 0 How Virtualization And Big Data Are Revolutionizing Healthcare
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Author : Christoph Thuemmler
language : en
Publisher: Springer
Release Date : 2017-01-07
Health 4 0 How Virtualization And Big Data Are Revolutionizing Healthcare written by Christoph Thuemmler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-07 with Technology & Engineering categories.
This book describes how the creation of new digital services—through vertical and horizontal integration of data coming from sensors on top of existing legacy systems—that has already had a major impact on industry is now extending to healthcare. The book describes the fourth industrial revolution (i.e. Health 4.0), which is based on virtualization and service aggregation. It shows how sensors, embedded systems, and cyber-physical systems are fundamentally changing the way industrial processes work, their business models, and how we consume, while also affecting the health and care domains. Chapters describe the technology behind the shift of point of care to point of need and away from hospitals and institutions; how care will be delivered virtually outside hospitals; that services will be tailored to individuals rather than being designed as statistical averages; that data analytics will be used to help patients to manage their chronic conditions with help of smart devices; and that pharmaceuticals will be interactive to help prevent adverse reactions. The topics presented will have an impact on a variety of healthcare stakeholders in a continuously global and hyper-connected world. · Presents explanations of emerging topics as they relate to e-health, such as Industry 4.0, Precision Medicine, Mobile Health, 5G, Big Data, and Cyber-physical systems; · Provides overviews of technologies in addition to possible application scenarios and market conditions; · Features comprehensive demographic and statistic coverage of Health 4.0 presented in a graphical manner.
Predictive Intelligence In Biomedical And Health Informatics
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Author : Rajshree Srivastava
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-10-12
Predictive Intelligence In Biomedical And Health Informatics written by Rajshree Srivastava and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Computers categories.
Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.
Artificial Intelligence
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Author : Sandeep Reddy
language : en
Publisher: CRC Press
Release Date : 2020-12-02
Artificial Intelligence written by Sandeep Reddy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Business & Economics categories.
The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.
Healthcare Disrupted
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Author : Jeff Elton
language : en
Publisher: John Wiley & Sons
Release Date : 2016-02-23
Healthcare Disrupted written by Jeff Elton and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-23 with Business & Economics categories.
“During a time of tremendous change and uncertainty, Healthcare Disrupted gives executives a framework and language to determine how they will evolve their products, services, and strategies to flourish in a increasingly value-based healthcare system. Using a powerful mix of real world examples and unanswered questions, Elton and O’Riordan lead you to see that ‘no action’ is not an option—and push you to answer the most important question: ‘What is your role in this digitally driven change and how can your firm can gain competitive advantage and lead?’”—David Epstein, Division Head, Novartis Pharmaceuticals “Healthcare Disrupted is an inspirational call-to-action for everyone associated with healthcare, especially the innovators who will develop the next generation of therapeutics, diagnostics, and devices.”—Bob Horvitz, Ph.D., David H. Koch Professor of Biology, MIT; Nobel Prize in Physiology or Medicine “In a time of dizzying change across all fronts: from biology, to delivery, to the use of big data, Health Disrupted captures the impact of these forces and thoughtfully develops new approaches to value creation in the healthcare industry. A must-read for those who strive to capitalize on change and reinvent the industry.”—Deborah Dunsire, M.D., president and CEO, FORUM Pharmaceuticals Healthcare at a Crossroad: Seismic Shifts, New Business Models for Success Healthcare Disrupted is an in-depth look at the disruptive forces driving change in the the healthcare industry and provides guide for defining new operating and business models in response to these profound changes. Based on original research conducted by Accenture and years of experience working with the most successful companies in the industry, healthcare experts Jeff Elton and Anne O’Riordan provide an informed, insightful view of the state of the industry, what's to come, and new emerging business models for life sciences companies play a different role from the past in to driving superior outcomes for patients and playing a bigger role in creating greater value for healthcare overall. Their book explains how critical global healthcare trends are challenging legacy strategies and business models, and examines why historical leaders in the industy must evolve, to stay relevant and compete with new entrants. Healthcare Disrupted captures this pivotal point in time to give executives and senior managers across pharmaceutical, biopharmaceutical, medical device, medical diagnostics, digital technology, and health services companies an opportunity to step back and consider the changing landscape. This book gives companies options for how to adapt and stay relevant and outlines four new business models that can drive sustainable growth and performance. It demonstrates how real-world data (from Electronic Medical Records, health wearables, Internet of Things, digital media, social media, and other sources) is combining with scalable technologies and advanced analytics to fundamentally change how and where healthcare is delivered, bridging to the health of populations, and broadening the resposibility for both. It reveals how this shift in healthcare delivery will significantly improve patient outcomes and the value health systems realize.
Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11
Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
The Fourth Industrial Revolution
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Author : Klaus Schwab
language : en
Publisher: Penguin UK
Release Date : 2017-01-03
The Fourth Industrial Revolution written by Klaus Schwab and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-03 with Business & Economics categories.
The founder and executive chairman of the World Economic Forum on how the impending technological revolution will change our lives We are on the brink of the Fourth Industrial Revolution. And this one will be unlike any other in human history. Characterized by new technologies fusing the physical, digital and biological worlds, the Fourth Industrial Revolution will impact all disciplines, economies and industries - and it will do so at an unprecedented rate. World Economic Forum data predicts that by 2025 we will see: commercial use of nanomaterials 200 times stronger than steel and a million times thinner than human hair; the first transplant of a 3D-printed liver; 10% of all cars on US roads being driverless; and much more besides. In The Fourth Industrial Revolution, Schwab outlines the key technologies driving this revolution, discusses the major impacts on governments, businesses, civil society and individuals, and offers bold ideas for what can be done to shape a better future for all.