Scalable Artificial Intelligence For Healthcare
DOWNLOAD
Download Scalable Artificial Intelligence For Healthcare PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Scalable Artificial Intelligence For Healthcare book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Scalable Artificial Intelligence For Healthcare
DOWNLOAD
Author : Houneida Sakly
language : en
Publisher: CRC Press
Release Date : 2025-05-06
Scalable Artificial Intelligence For Healthcare written by Houneida Sakly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Computers categories.
This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to scale AI applications in healthcare, addressing areas such as diagnosis, treatment, and patient care. Key topics include data scalability, model deployment, and infrastructure design, highlighting the use of microservices, containerization, cloud computing, and big data technologies in building scalable AI systems. Discussions cover advancements in machine learning models, distributed processing, and transfer learning, alongside critical considerations such as continuous integration, data privacy, and ethics. Real-world case studies depict both the successes and challenges of implementing scalable AI across various healthcare environments, offering valuable insights for future advancements. This volume serves as a practical and theoretical guide for healthcare professionals, AI researchers, and technology enthusiasts seeking to develop or expand on AI-driven healthcare solutions to address global health challenges effectively.
The Impact Of Artificial Intelligence On Healthcare Industry
DOWNLOAD
Author : Mustafa Berktas
language : en
Publisher: CRC Press
Release Date : 2024-12-06
The Impact Of Artificial Intelligence On Healthcare Industry written by Mustafa Berktas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
Healthcare and medical science are inherently dependent on technological advances and innovations for improved care. In recent times we have witnessed a new drive in implementing these advances and innovations through the use of Artificial Intelligence, in both clinical and non-clinical areas. The set of 2 volumes aims to make available the latest research and applications to all, and to present the current state of clinical and non-clinical applications in the health sector and areas open to development, as well as to provide recommendations to policymakers. This volume covers non-clinical applications. The chapters covered in this book have been written by professionals who are experts in the healthcare sector and have academic experience.
Federated Learning And Ai For Healthcare 5 0
DOWNLOAD
Author : Hassan, Ahdi
language : en
Publisher: IGI Global
Release Date : 2023-12-18
Federated Learning And Ai For Healthcare 5 0 written by Hassan, Ahdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-18 with Medical categories.
The Healthcare sector is evolving with Healthcare 5.0, promising better patient care and efficiency. However, challenges like data security and analysis arise due to increased digitization. Federated Learning and AI for Healthcare 5.0 offers solutions, explaining cloud computing's role in managing data and advocating for security measures. It explores federated learning's use in maintaining data privacy during analysis, presenting practical cases for implementation. The book also addresses emerging tech like quantum computing and blockchain-based services, envisioning an innovative Healthcare 5.0. It empowers healthcare professionals, IT experts, and data scientists to leverage these technologies for improved patient care and system efficiency, making Healthcare 5.0 secure and patient centric.
Scalable Ai And Design Patterns
DOWNLOAD
Author : Abhishek Mishra
language : en
Publisher: Springer Nature
Release Date : 2024-03-11
Scalable Ai And Design Patterns written by Abhishek Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Computers categories.
Understand and apply the design patterns outlined in this book to design, develop, and deploy scalable AI solutions that meet your organization's needs and drive innovation in the era of intelligent automation. This book begins with an overview of scalable AI systems and the importance of design patterns in creating robust intelligent solutions. It covers fundamental concepts and techniques for achieving scalability in AI systems, including data engineering practices and strategies. The book also addresses scalable algorithms, models, infrastructure, and architecture considerations. Additionally, it discusses deployment, productionization, real-time and streaming data, edge computing, governance, and ethics in scalable AI. Real-world case studies and best practices are presented, along with insights into future trends and emerging technologies. The book focuses on scalable AI and design patterns, providing an understanding of the challenges involved in developing AI systems that can handle large amounts of data, complex algorithms, and real-time processing. By exploring scalability, you will be empowered to design and implement AI solutions that can adapt to changing data requirements. What You Will Learn Develop scalable AI systems that can handle large volumes of data, complex algorithms, and real-time processing Know the significance of design patterns in creating robust intelligent solutions Understand scalable algorithms and models to handle extensive data and computing requirements and build scalable AI systems Be aware of the ethical implications of scalable AI systems Who This Book Is For AI practitioners, data scientists, and software engineers with intermediate-level AI knowledge and experience
Generative Intelligence In Healthcare
DOWNLOAD
Author : Sakshi Gupta
language : en
Publisher: CRC Press
Release Date : 2025-04-10
Generative Intelligence In Healthcare written by Sakshi Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-10 with Technology & Engineering categories.
This book explores the intersection of artificial intelligence and healthcare with a focus on generative intelligence. The book will introduce the concept of generative intelligence and its transformative potential in patient care, showcasing applications that go beyond conventional AI approaches. Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity delves into the use of generative models for personalized medicine, data analytics, and predictive modelling, providing real-world examples of how AI creativity can revolutionize treatment strategies and diagnostic processes. It focuses on the origin and basics of generative AI, generative AI models, and possible areas in healthcare where generative AI can work. It discusses how generative AI model will help healthcare providers automatically generate prescriptions, discharge summaries, and patient conditions. The unique strength of this book lies in its comprehensive examination of ethical considerations and regulatory frameworks, ensuring a responsible and transparent integration of generative intelligence in healthcare. By addressing current challenges and envisioning future directions, this book serves as a valuable resource for healthcare professionals, researchers, and policymakers seeking to harness the full potential of AI creativity to enhance patient outcomes. The book is written for graduate students, researchers, and professionals in biomedical engineering, electrical engineering, signal process engineering, biomedical imaging, and computer science.
Digital Transformation With Crm Ai Strategies For Scalable Enterprise Solutions In Public And Private Sectors
DOWNLOAD
Author : Lakshman Pradeep Reddy Vangala
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-06-24
Digital Transformation With Crm Ai Strategies For Scalable Enterprise Solutions In Public And Private Sectors written by Lakshman Pradeep Reddy Vangala and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.
Digital transformation has become a cornerstone of strategic growth across public and private enterprises, driven by the rapid evolution of artificial intelligence (AI) and customer relationship management (CRM) technologies. This Book explores how AI-integrated CRM systems are revolutionizing organizational processes, enhancing customer engagement, and enabling scalable enterprise solutions. In the public sector, AI-powered CRMs are helping governments improve citizen services, automate administrative workflows, and deliver personalized interactions. In the private sector, these systems optimize sales, marketing, and customer service operations through predictive analytics, natural language processing, chatbots, and intelligent automation. The abstract outlines the strategic role of AI in transforming traditional CRM platforms into dynamic, data-driven ecosystems that foster operational efficiency, agility, and customer-centricity. The study also highlights the challenges of data privacy, system integration, and skill gaps while proposing implementation frameworks and best practices for successful adoption. Through a comparative analysis, case studies, and future outlooks, this research offers a comprehensive view of how AI-driven CRM solutions can unlock sustained digital growth and transformation in diverse enterprise environments.
Pajama Time With Artificial Intelligence Healthcare Transformation Guide
DOWNLOAD
Author : Vlad Panin
language : en
Publisher: Vlad Panin
Release Date : 2024-06-24
Pajama Time With Artificial Intelligence Healthcare Transformation Guide written by Vlad Panin and has been published by Vlad Panin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Social Science categories.
The following book is about solving medical doctors' so-called "Pajama Time" burden by carefully adopting artificial intelligence technologies. Much of the book is dedicated to automating medical documentation, illustrating how AI tools can lessen healthcare providers' administrative burden. The text also discusses critical issues related to data security and regulatory compliance, ensuring that AI applications meet healthcare standards like HIPAA. The book also looks toward the future of AI in the industry, discussing emerging technologies and the potential for global adoption. By providing real-world examples and spotlighting international case studies, it illustrates the scalability of AI solutions across diverse healthcare systems. In its conclusion, the book calls for interdisciplinary collaboration to drive sustainable and ethical AI advancements, pushing for further innovation in healthcare.
Green Ai Powered Intelligent Systems For Disease Prognosis
DOWNLOAD
Author : Khanna, Ashish
language : en
Publisher: IGI Global
Release Date : 2024-08-23
Green Ai Powered Intelligent Systems For Disease Prognosis written by Khanna, Ashish and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Medical categories.
Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.
Artificial Intelligence Empowered Bio Medical Applications
DOWNLOAD
Author : Dimitrios P. Panagoulias
language : en
Publisher: Springer Nature
Release Date : 2025-07-19
Artificial Intelligence Empowered Bio Medical Applications written by Dimitrios P. Panagoulias and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Technology & Engineering categories.
The book delves into advancements in personalized medicine, highlighting the transition from generalized treatments to tailored strategies through AI and machine learning. It first emphasizes the role of biomarkers in training predictive models and neural networks, enhancing disease diagnosis and patient management. It then explores AI-driven healthcare systems, particularly the use of microservices to improve scalability and management. Additionally, it examines regulatory challenges, the need for AI explainability, and the PINXEL framework, which defines explainability requirements using the technology acceptance model (TAM) and the diffusion of innovation theory (DOI). Furthermore, the book evaluates the capabilities of large language models, including ChatGPT and GPT-4V, in medical applications, with a focus on diagnosis and structured assessments in general pathology. Lastly, it introduces an AI-powered system for primary care diagnosis that integrates language models, machine learning, and rule-based systems. The interactive AI assistants “Med|Primary AI assistant” and “Dermacen Analytica” leverage natural language processing, image analysis, and multi-modal AI to enhance patient interactions and provide healthcare professionals with high-accuracy, personalized diagnostic support. By taking a holistic approach, the book underscores the integration of AI into healthcare, aiming to support medical professionals in patient diagnosis and management with precision and adaptability.
The Transformative Power Of Ai Applications In Healthcare
DOWNLOAD
Author : Ayman Elmassarawy
language : en
Publisher: Ayman Elmassarawy
Release Date : 2025-01-24
The Transformative Power Of Ai Applications In Healthcare written by Ayman Elmassarawy and has been published by Ayman Elmassarawy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-24 with Computers categories.
Artificial intelligence (AI) is revolutionizing the healthcare industry, reshaping how medicine is practiced and how care is delivered. The Transformative Power of AI Applications in Healthcare delves into the dynamic intersection of AI and medicine, offering readers a profound understanding of the innovations driving change and the challenges that accompany them. With its compelling blend of technological insight and real-world applications, this book serves as an essential resource for medical professionals, technologists, policymakers, and curious minds. Key Themes and Innovations The book begins by laying the foundational concepts of AI in healthcare, tracing its evolution from early data visualization techniques to today’s advanced machine learning algorithms. Readers are introduced to the transformative potential of predictive analytics, where wearable devices, early warning systems, and disease modeling enable the detection and prevention of illnesses long before symptoms manifest. Revolutionizing Diagnostics: One of the standout themes is AI’s role in enhancing diagnostic accuracy and efficiency. Chapters illustrate how deep learning algorithms, such as those used in radiology and pathology, are empowering clinicians with faster, more reliable diagnoses. Case studies, including AI’s application in detecting diabetic retinopathy and breast cancer, reveal its ability to expand diagnostic capabilities, particularly in underserved regions. Personalized Medicine and Genomics: The exploration of genomics and pharmacogenomics highlights how AI is personalizing care to unprecedented levels. The book unpacks the shift from generic treatment protocols to precision therapies tailored to individual genetic profiles, citing examples like targeted cancer treatments and optimized drug dosing strategies. Surgical Innovations and Robotics: AI’s integration into robotic surgery systems is revolutionizing operating rooms worldwide. From minimally invasive procedures to real-time decision-making tools, readers learn how AI enhances surgical precision, reduces risks, and expands access to complex surgeries. The potential for remote surgeries and autonomous systems is also explored, showcasing the far-reaching impact of this technology. Public Health and Crisis Management: The role of AI in addressing global health crises takes center stage, with detailed discussions on how platforms like BlueDot and HealthMap provided early warnings during the COVID-19 pandemic. The book also examines AI’s contributions to vaccine development, resource allocation, and public health strategies, highlighting its transformative role in safeguarding global populations. Ethical Considerations and Challenges The book does not shy away from critical discussions on the ethical implications of AI. Topics such as algorithmic bias, data privacy, and equitable access to AI-driven innovations are examined with rigor. Readers are invited to consider how these challenges can be addressed through transparent, inclusive practices that prioritize fairness and human welfare. Vision for the Future Looking ahead, the book speculates on emerging frontiers of AI in healthcare. From mental health applications and autonomous diagnostics to advancements in bioprinting and chronic disease management, the potential for future breakthroughs is boundless. The narrative challenges readers to envision a healthcare system where AI seamlessly integrates with human expertise to deliver smarter, more compassionate care. Why This Book Matters At its core, The Transformative Power of AI Applications in Healthcare is not just about technology—it’s about the human impact. By offering an in-depth look at the advancements and ethical dilemmas surrounding AI, the book equips readers with the knowledge and inspiration to participate in shaping the future of medicine. It is both a roadmap and a call to action, urging readers to engage with the transformative power of AI and to champion its responsible implementation. This book is an indispensable guide for anyone interested in understanding how AI is reshaping healthcare. It illuminates the path forward, bridging the gap between innovation and humanity, and fostering a vision of a healthcare system that is smarter, more equitable, and profoundly impactful.