Ai In The Cloud Transforming Healthcare Data Into Insights And Actions
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Ai In The Cloud Transforming Healthcare Data Into Insights And Actions
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Author : Sunil Kumar Alavilli
language : en
Publisher: Navi International Book Publication house
Release Date : 2023-09-07
Ai In The Cloud Transforming Healthcare Data Into Insights And Actions written by Sunil Kumar Alavilli and has been published by Navi International Book Publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-07 with Computers categories.
Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world, but as longevity increases, healthcare systems face growing demand for their services, rising costs and a workforce that is struggling to meet the needs of its patients. Demand is driven by a combination of unstoppable forces: population aging, changing patient expectations, a shift in lifestyle choices, and the never-ending cycle of innovation being but a few. Of these, the implications from an aging population stand out. By 2050, one in four people in Europe and North America will be over the age of 65—this means the health systems will have to deal with more patients with complex needs. Managing such patients is expensive and requires systems to shift from an episodic care-based philosophy to one that is much more proactive and focused on long-term care management. Healthcare spending is simply not keeping up. Without major structural and transformational change, healthcare systems will struggle to remain sustainable. Health systems also need a larger workforce, but although the global economy could create 40 million new health-sector jobs by 2030, there is still a projected shortfall of 9.9 million physicians, nurses and midwives globally over the same period, according to the World Health Organization. We need not only to attract, train and retain more healthcare professionals, but we also need to ensure their time is used where it adds most value— caring for patients. Artificial intelligence (AI) has the potential to transform how healthcare is delivered. A joint report with the European Union’s EIT Health explores how it can support improvements in care outcomes, patient experience and access to healthcare services. It can increase productivity and the efficiency of care delivery and allow healthcare systems to provide more and better care to more people. AI can help improve the experience of healthcare practitioners, enabling them to spend more time in direct patient care and reducing burnout. Healthcare is one of the major success stories of our times
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
The Fusion Of Internet Of Things Artificial Intelligence And Cloud Computing In Health Care
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Author : Patrick Siarry
language : en
Publisher: Springer Nature
Release Date : 2021-08-11
The Fusion Of Internet Of Things Artificial Intelligence And Cloud Computing In Health Care written by Patrick Siarry and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-11 with Technology & Engineering categories.
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.
Artificial Intelligence And Big Data Analytics For Smart Healthcare
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Author : Miltiadis Lytras
language : en
Publisher: Academic Press
Release Date : 2021-10-22
Artificial Intelligence And Big Data Analytics For Smart Healthcare written by Miltiadis Lytras and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Medical categories.
Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. - Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine - Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them - Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers
Iot In Action Transforming Lives
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Author : Avali Banerjee
language : en
Publisher: OrangeBooks Publication
Release Date : 2025-06-20
Iot In Action Transforming Lives written by Avali Banerjee and has been published by OrangeBooks Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.
The Internet of Things (IoT) is standing at the forefront of the Fourth Industrial Revolution thereby transforming the physical world into a seamlessly connected digital ecosystem. It is no longer a futuristic vision instead is the pulse of today's innovation and tomorrow’s transformation. From our homes and cities to satellites orbiting above and the fields growing our food, IoT is quietly revolutionizing how we live, work, learn, and heal. As sensors, devices, and intelligent systems proliferate, the fusion of real-time data with machine intelligence is redefining traditional domains—from urban infrastructure to personal healthcare. The 21st century has witnessed an unprecedented transformation in social urban management, rural management, education sector, hospital management. It is driven by rapid advancements in digital technology. In India, this shift is not a mere evolution but has turned into a revolution. The integration of technology redefines leadership roles. These inspired us to work on this book. This book, "IoT in Action: Transforming Lives", presents a comprehensive and interdisciplinary perspective on the evolving landscape of IoT technologies addressing cutting-edge applications that are reshaping modern society: our daily existence and global future. It explores the multi-dimensional impact of IoT enabling smarter decisions, enhanced efficiency, and inclusive growth. In addressing the shadows of connectivity, we examine Cyber Security in IoT, exploring risks, vulnerabilities, and defence strategies essential for protecting our digital ecosystem. We begin with Smart Cities, a domain where IoT plays a pivotal role in optimizing energy usage, enhancing public safety, streamlining transportation, and ensuring sustainable urban growth. The Healthcare sector is experiencing a paradigm shift through IoT-enabled solutions, improving patient monitoring, diagnostics, and operational workflows. Smart Prosthetics and Rehabilitation Technologies harness real-time data and adaptive algorithms to deliver personalized care and restore human mobility in transformative ways. Finally, we turn to the most personal space: the home. Smart Farming leverages IoT to promote precision agriculture, optimizing resource usage, crop health, and yield through data-driven decision-making. This is instrumental in addressing food security and climate adaptation challenges. In Special Education, adaptive technologies are being developed to support diverse learning needs, empowering students with disabilities through accessible and personalized learning environments. IoT in Home Automation is reimagining comfort, security, and convenience, making our living spaces more intelligent and responsive. This book is not just a technical treatise; it’s a journey through the evolving narrative of human potential enhanced by technology. It invites engineers, academics, young researchers, educators, and curious minds to explore how IoT is more than a network—it's a promise of a smarter, more connected, and compassionate world. We extend our sincere gratitude to all the contributors whose research and perspectives have enriched this work.
Ai And The Cloud Unlocking The Power Of Big Data In Modern Healthcare
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Author : Surendar Rama Sitaraman
language : en
Publisher: Xoffencerpublication
Release Date : 2023-07-22
Ai And The Cloud Unlocking The Power Of Big Data In Modern Healthcare written by Surendar Rama Sitaraman and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-22 with Computers categories.
The application of artificial intelligence (AI) in conjunction with cloud computing in contemporary healthcare is bringing about a revolution in patient care, medical research, and the efficiency of operational procedures. Patient records, medical imaging, genetic information, and real-time monitoring data from wearables are all examples of the massive volumes of data that are produced by the healthcare industry. The use of this data poses not only a difficulty but also an opportunity to improve diagnoses, treatment, and personalised care. Artificial intelligence algorithms are able to handle and analyse enormous information by utilising the scalable architecture of the cloud. This allows them to discover patterns and insights that would otherwise be impossible to identify. As a result of this synergy, predictive analytics for disease outbreaks, early identification of illnesses such as cancer, personalised treatment plans based on genetic profiles, and optimised healthcare logistics are all made possible. Furthermore, cloud systems that are powered by artificial intelligence enhance data accessibility and interoperability, which enables smooth cooperation across healthcare providers while simultaneously assuring data security and compliance with laws. However, ethical considerations and data privacy continue to be important challenges, since it is necessary to protect patient information in order to preserve trust and adhere to regulatory norms. The purpose of this book is to investigate how artificial intelligence (AI)-powered cloud solutions are enabling the potential of big data in the healthcare industry, therefore enhancing efficiency, enhancing patient outcomes, and paving the road for the future of precision medicine. Additionally, it investigates the technological, ethical, and regulatory problems that are linked with this paradigm change, providing insights into the methods of integration that are both sustainable and responsible. A change towards data-driven decision-making is being sparked by the use of artificial intelligence (AI) and cloud technologies in the healthcare industry. This shift is expected to reduce reliance on conventional diagnostic approaches and enhance accuracy through the utilisation of automated systems. Using AI models that have been trained on big datasets, for example, it is now possible to detect early signs of illnesses in medical imaging with a level of precision that is equivalent to, and sometimes even exceeds, that of human specialist. In regions with limited access to specialised medical skills, this breakthrough is especially helpful since it is particularly advantageous in locations with low resource
Big Data In Action From Algorithms To Scalable Product Solutions 2025 Author 1 Dr Mehraj Ali Usman Ali
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Author : AUTHOR:1-Dr. Mehraj Ali Usman Ali, AUTHOR:2 -Dr. Shakeb Khan
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Big Data In Action From Algorithms To Scalable Product Solutions 2025 Author 1 Dr Mehraj Ali Usman Ali written by AUTHOR:1-Dr. Mehraj Ali Usman Ali, AUTHOR:2 -Dr. Shakeb Khan and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In an era dominated by technological advancements, the ability to extract meaningful insights from the ever-expanding volume of data has become a competitive advantage for organizations worldwide. Big Data, with its vast scope, provides companies with unprecedented opportunities to understand consumer behavior, optimize operations, and forecast future trends. Yet, despite its potential, raw data alone is insufficient; it needs to be processed, analyzed, and interpreted in a way that yields actionable insights. This is where Predictive Analytics comes into play. Predictive analytics is the practice of using historical data, machine learning algorithms, and statistical models to forecast future outcomes and trends. By leveraging Big Data, predictive analytics allows organizations to anticipate future behaviors, market shifts, and operational needs with remarkable accuracy. This predictive power is transforming industries, from retail and healthcare to finance and manufacturing, by providing businesses with tools to make data-driven decisions rather than relying solely on intuition or past experience. The goal of this book is to explore the intersection of Big Data and Predictive Analytics, providing readers with both theoretical insights and practical approaches to harnessing predictive models in Big Data environments. Throughout the chapters, we will cover the various types of predictive models, including regression analysis, time-series forecasting, decision trees, and neural networks, highlighting how these models can be applied to Big Data to solve real-world challenges. These methodologies are essential for applications ranging from demand forecasting and fraud detection to personalized marketing and healthcare diagnostics. Data preparation plays a pivotal role in predictive analytics, and this book will delve into the critical process of cleaning, transforming, and normalizing Big Data to ensure accurate and reliable predictions. Additionally, we will explore the implementation of machine learning algorithms, such as supervised and unsupervised learning, which form the backbone of many predictive models used in modern business applications. One of the core themes of this book is to demonstrate how predictive analytics is not just a tool for data scientists but a crucial component of decision support systems, helping organizations make informed choices across various departments, including marketing, operations, and finance. The book will also address the challenges that come with predictive analytics, such as data quality, overfitting, and model interpretability, providing solutions to these common obstacles. Through detailed case studies, particularly in the financial, retail, and healthcare sectors, this book highlights the transformative impact of predictive analytics in Big Data. By the end of this book, readers will not only gain an understanding of the core principles of predictive analytics but will also be equipped with the knowledge to apply these techniques in their own organizations to drive meaningful business outcomes. We hope this book serves as both an academic resource and a practical guide, empowering professionals, researchers, and students to fully leverage predictive analytics in the context of Big Data. Authors Dr. Mehraj Ali Usman Ali Dr. Shakeb Khan
Transforming Patientcentric Ecosystems Through Integrated Healthcare Intelligence And Digital Infrastructure
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Author : Karthik Chava
language : en
Publisher: BUDHA PUBLICATION
Release Date :
Transforming Patientcentric Ecosystems Through Integrated Healthcare Intelligence And Digital Infrastructure written by Karthik Chava and has been published by BUDHA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Leveraging Data Science For Global Health
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Author : Leo Anthony Celi
language : en
Publisher: Springer Nature
Release Date : 2020-07-31
Leveraging Data Science For Global Health written by Leo Anthony Celi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Medical categories.
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
Transforming Healthcare Sector Through Artificial Intelligence And Environmental Sustainability
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Author : Rubee Singh
language : en
Publisher: Springer Nature
Release Date : 2025-01-22
Transforming Healthcare Sector Through Artificial Intelligence And Environmental Sustainability written by Rubee Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Business & Economics categories.
This book explores the intersection of artificial intelligence (AI) and sustainability in healthcare, focusing on how AI technologies are transforming medical practices while promoting environmentally responsible operations. It examines how AI-driven tools like machine learning and data analysis enhance diagnostic accuracy, streamline treatment planning, and personalize patient care by analysing large datasets, including genetic information. Additionally, the book addresses how AI can support sustainable healthcare practices by optimizing resource usage, such as energy consumption in hospitals, and improving supply chain management to reduce environmental impact. Practical case studies demonstrate how these technologies are being implemented to improve patient outcomes and achieve sustainability goals. The book considers the integration of AI into human resource management within healthcare, discussing AI's role in recruitment, performance management, and employee retention aligned with sustainability objectives. Ethical and regulatory issues surrounding AI adoption, such as data privacy and algorithmic transparency, are thoroughly examined, with an emphasis on creating responsible and equitable AI systems. Designed for healthcare professionals and administrators, this book provides practical strategies and real-world examples of AI implementation in sustainable healthcare, offering a balanced view of the opportunities and challenges ahead.