Transforming Health Care by Leveraging Artificial Intelligence and Machine Learning AI and ML in healthcare represent nothing less than a revolution in how we provide care, anticipate the progress of our patients, and run our hospitals. This instructive, practical guide brings into view how data-driven insights are revolutionizing healthcare real-time patient monitoring and tailored treatments to analytics that can predict disease and optimize operations. Packed full of case studies, expert perspectives, and forward-looking strategies, this book will be a valuable tool for healthcare professionals, data scientists, and administrators alike. Whether at the beginning of your AI journey or looking to enhance your knowledge, this book will take you through the challenges and possibilities that come with AI-powered healthcare.

This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML). It covers a wide range of topics from fundamental concepts to practical applications. Transforming Gender-Based Healthcare with AI and Machine Learning incorporates real-world case studies and success stories to illustrate how AI and ML are actively reshaping gender-based healthcare and offers examples that showcase tangible outcomes and the impact of technology in healthcare settings. The book delves into the ethical considerations surrounding the use of AI and ML in healthcare and addresses issues related to privacy, bias, and responsible technology implementation. Empasis is placed on patient-centered care, and the book discusses how technology empowers individuals to actively participate in their healthcare decisions and promotes a more engaged and informed patient population. Written to encourage interdisciplinary collaboration and highlight the importance of cooperation between health professionals, technologies, researchers, and policymakers, this book portrays how this collaborative approach is essential for achieving transformative goals and is not only for professionals but can also be used at the student level as well.

Meta platforms, also called metaverse platforms, refer to online virtual reality worlds where users can interact and engage with one another using virtual avatars. These platforms allow users to create, explore, and interact in virtual environments that are similar to the physical world. The metaverse has the potential to change the way the world views human interaction and communication. Companies such as Facebook, Microsoft, and Google are investing heavily in metaverse development, with the goal of creating a unified and seamless virtual world for users to access from anywhere in the world. Meta platforms have the potential to revolutionize numerous industries, including education, healthcare, and entertainment. For example, virtual classrooms can allow students from all over the world to attend classes together as if they were in the same physical location. Similarly, virtual healthcare professionals can provide consultations and treatments to patients in remote areas. Finally, the gaming industry has already embraced metaverse development, with games such as Second Life and Fortnite paving the way for future developments. Overall, meta platforms have the potential to change the way the world interacts and communicates, creating new opportunities for individuals and businesses. In this book we discuss topics such as: Introduction to Meta Platforms: Definition of meta platforms, Brief history of meta platforms, Advantages and disadvantages of meta platforms, Examples of meta platforms Meta Platforms in Social Media: Introduction to social media meta platforms, Characteristics of social media meta platforms, Examples of social media meta platforms Meta Platforms in E-commerce: Introduction to e-commerce meta platforms, Characteristics of e-commerce meta platforms, Examples of e-commerce meta platforms Meta Platforms in Finance: Introduction to finance meta platforms, Characteristics of finance meta platforms, Examples of finance meta platforms Meta Platforms in Healthcare: Introduction to healthcare meta platforms, Characteristics of healthcare meta platforms, Examples of healthcare meta platforms Meta Platforms in Education: Introduction to education meta platforms, Characteristics of education meta platforms, Examples of education meta platforms Implications and Future of Meta Platforms: Potential impact of meta platforms on society, Challenges and controversies surrounding meta platforms, Future developments and trends in meta platforms Conclusion: Summary of key points and Final thoughts on meta platforms. Quizzes are provided at the end of each section.

Unlock the transformative power of Artificial Intelligence (AI) to propel your business to new heights. AI for Entrepreneurs is an essential guide for business owners looking to leverage AI technology to boost growth, optimize operations, and stay ahead of the competition. Packed with practical strategies, this book demystifies AI, making it accessible to entrepreneurs of all sizes—whether you're a startup founder or running a small enterprise. Discover how AI is revolutionizing industries by automating routine tasks, improving decision-making, and enhancing customer experiences. You'll learn step-by-step how to identify key areas where AI can add value, choose the right tools to enhance marketing and operations, and automate processes to save time and costs. Featuring real-world success stories of entrepreneurs who used AI to scale their businesses, this book will show you exactly how to implement AI in your daily operations for maximum impact. Bonus resources include a curated list of AI tools, an action plan template, and an easy-to-understand AI glossary—everything you need to start leveraging AI today. AI for Entrepreneurs is your roadmap to making AI a powerful ally in your business journey. Get your copy and start building your AI-powered success story now!

The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.

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.

Artificial Intelligence (AI) is revolutionizing the healthcare industry, offering unprecedented opportunities to enhance patient care, streamline clinical operations, and accelerate medical research. "Artificial Intelligence in Healthcare: Transforming the Medical Industry" is your comprehensive guide to understanding and leveraging AI technologies in the medical field. This book explores the various applications of AI in healthcare, from diagnostic tools and personalized medicine to administrative efficiency and patient management. With detailed case studies, expert insights, and practical advice, this handbook is an essential resource for healthcare professionals, technology enthusiasts, and industry leaders. Embrace the future of healthcare and discover how AI can transform the way we diagnose, treat, and manage diseases.

This book focuses on game theory approaches utilized on various domains viz., IoT, blockchain and their applications to biomedical and healthcare services. The book bridges the gap between radiologists and Artificial Intelligence (AI)-driven automated systems by investigating various techniques such as game theoretic approach, blockchain technology basically utilized for security, and IoT applied on metaverse. Healthcare Services in the Metaverse: Game Theory, AI, IoT, and Blockchain, identifies the potential areas where game theory and block chain techniques can be harnessed in the metaverse. The book discusses the integration of virtual reality (VR) with augmented reality to identify the new emerging techniques in healthcare to metaverse, where doctors and/or patients can see any kind of operation in the VR metaverse. The authors use game theoretical and blockchain approaches to understand healthcare issues, with the aim of utilizing different technologies of metaverse platform for health informatics. This book is written to help healthcare practitioners and individuals across academia and research, as well as for those who work in biomedical, Internet of Things (IoT), Artificial Intelligence (AI), metaverse, VR, blockchain, and related technologies.

The digitization of patient records has ushered in a new era of possibilities in the healthcare industry, helping it to keep pace with the ever-evolving landscape. However, the need for more seamless interoperability in Electronic Health Record (EHR) systems poses a significant challenge. This fragmented landscape inhibits the exchange, integration, and analysis of crucial health data, hindering efforts to deliver optimal patient care and impeding the advancement of healthcare procedures. By unraveling the complexities of computational convergence and highlighting the pivotal role of interoperability, Computational Convergence and Interoperability in Electronic Health Records (EHR) provides a roadmap for transforming healthcare delivery. It equips data analysts, medical professionals, and IT specialists with the knowledge and tools needed to navigate the intersection of healthcare and technology, enabling them to leverage emerging trends and standards to improve patient outcomes.

This book begins by discussing the fundamentals of Artificial Intelligence, the Internet of Things, and their convergence. It then covers techniques, algorithms, and methods of analysing and processing data over the Artificial Intelligence of Things. The text elaborates on important concepts such as body sensor networks for safety in smart factories, smart energy management, smart robotic assistive systems, and service-oriented smart manufacturing. This book: • Discusses the security and privacy aspect of Artificial Intelligence of Things (AIoT) for smart real-time applications. • Explores challenges and issues of Artificial Intelligence and the Internet of Things in the field of industrial automation. • Includes case studies in Artificial Intelligence of Things (AIoT) convergence for data processing. • Showcases algorithms, techniques, and methods of analysing and processing data over the Artificial Intelligence of Things. • Highlights operation management using human-robot, smart maintenance, and autonomous production. It will serve as an ideal reference text for senior undergraduate, graduate students, and professionals in fields including industrial engineering, production engineering, manufacturing engineering, operations research, and computer engineering.