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  • Trustworthy AI in Cancer Imaging Research

    Serier serie Engineering (R0)
    The book covers multiple aspects and challenges, from legal to technical and validation, in the emerging topic of AI in cancer imaging, bringing together the experience of top researchers and flagship projects.The aim of this book is to address the important questions: “How to design AI that is trustworthy”, and “How to validate AI trustworthiness” in the scope of AI for cancer imaging research. ... Læs mere

    1.868,14 kr.

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  • Application of Generative AI in Healthcare Systems

    Redigeret af Azadeh Zamanifar, Miad Faezipour ...
    Serier serie Computer Science (R0)
    Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image ... Læs mere

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  • Revolutionizing Healthcare 5.0: The Power of Generative AI

    Advancements in Patient Care Through Generative AI Algorithms

    Serier serie Medicine (R0)
    This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms ... Læs mere

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  • AI Safety in Healthcare Systems

    Resilience, Transparency, and Accountability

    This book provides an in-depth exploration of AI safety in healthcare. It bridges the gap between technical innovation and patient protection. It examines emerging methodologies for risk management, transparency, and robust AI system design used specifically in medical applications.Readers will gain insights into the ethical considerations that surround AI deployment, techniques for improving the ... Læs mere

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  • Personalized Medicine Meets Artificial Intelligence

    Beyond “Hype”, Towards the Metaverse

    Serier serie Biomedical and Life Sciences (R0)
    The book provides a multidisciplinary outlook on using Artificial Intelligence (AI)-based solutions in the field of Personalized Medicine and its transitioning towards Personalized Digital Medicine.The first section integrates different perspectives on AI-based solutions and highlights their potential in biomedical research and patient care. In the second section, the authors present several real ... Læs mere

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  • Digital Health and Wireless Solutions: Integrating AI, LLMs and Multimodal Health Data for Next-Generation Decision Support

    Second Nordic Conference, NCDHWS 2026, Oulu, Finland, June 16–17, 2026, Proceedings, Part II

    Serier Bog 2 - Springer Nature Proceedings Computer Science
    This open access volume set CCIS 3009-3011 constitutes the refereed proceedings of the Second Nordic Conference on Digital Health and Wireless Solutions, NCDHWS 2026, held in Oulu, Finland, during June 16-17, 2026.The total of 86 full and 21 short papers included in the proceedings was carefully reviewed and selected from 159 submissions. They were organized in topical sections as follows:Part I: ... Læs mere

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  • Artificial Intelligence in Medicine

    A Practical Guide for Clinicians

    af Campion Quinn ...
    'Artificial Intelligence in Medicine' is a comprehensive guide exploring the transformative impact of artificial intelligence (AI) in healthcare. The book delves into the foundational concepts and historical development of AI in medicine, highlighting data collection, preprocessing, and feature extraction crucial for medical applications. It showcases the benefits of AI, such as accurate diagnoses ... Læs mere

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  • Artificial Intelligence-Based System Models in Healthcare

    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 ... Læs mere

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  • Digital Transformation in Healthcare Systems for Patient Care

    Dedicated to Professor Dr. Gloria Phillips-Wren

    Serier serie Intelligent Technologies and Robotics (R0)
    This book presents innovative solutions for disease management, elderly care, rehabilitation, surgical decision-making, and health data security. This book explores the transformative impact of Artificial Intelligence (AI), machine learning, and smart technologies on modern healthcare. Addressing wearable devices, digital twins, assistive technologies, and ethical AI implementation, the book ... Læs mere

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  • AI Foundations, Technologies, and Future of Healthcare Systems

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    Artificial intelligence (AI) transforms healthcare systems by reshaping data analysis, decision-making, and care delivery. Understanding the foundations of AI, including machine learning, data-driven modeling, and algorithmic decision-making, provides insight into the technologies driving predictive diagnostics, personalized medicine, and automated clinical workflows. As these tools become more ... Læs mere

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  • Generative AI Revolution

    Transforming Healthcare and Life Sciences Towards Sustainable Development in Industry 6.0

    Serier serie Earth and Environmental Science (R0)
    Generative AI Revolution: Transforming Healthcare and Life Sciences towards Sustainable Development in Industry 6.0 examines how generative artificial intelligence is redefining modern healthcare systems. As the world moves toward Industry 6.0—an era of human-centric, intelligent, and sustainable innovation—this book explores how AI enhances patient care, medical diagnostics, drug discovery, and ... Læs mere

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  • Responsible Analytics for Superior Health Quality Outcomes

    Responsible analytics in healthcare achieves superior health quality outcomes by ensuring data-driven decisions are ethical, transparent, and patient-centered. As healthcare systems rely on big data, AI, and predictive modeling, the importance of responsible data governance, bias mitigation, and privacy protection has become critical. Responsible analytics involves accountability in data ... Læs mere

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