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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Biologi

    Responsible AI in Healthcare

    Navigating the EU AI Act and Global Regulatory Frameworks

    AvMiltiadis D. Lytras,Foteini (Fani) Koutroumpa

    Häftad, Engelska, 2027

    Del i serien Next Generation Technology Driven Personalized Medicine And Smart Healthcare

    1 759 kr

    Kommande

    Beskrivning

    Responsible AI in Healthcare: Navigating the EU AI Act and Global Regulatory Frameworks examines how health systems design, deploy, and oversee AI under evolving legal and ethical mandates. It provides an integrated, practice-oriented roadmap for compliance and responsible innovation. This book offers the first integrated, comparative treatment of the EU AI Act and global regulatory frameworks for healthcare, translating ethics and law into operational evaluation, governance, and value assessment. Through structured cases, decision tools, and stakeholder methods, it equips researchers and clinicians to design, validate, and deploy AI responsibly-and to keep learning as regulations evolve. Readers gain actionable tools, checklists, and frameworks to operationalize ethical AI, prepare for audits and certifications, and anticipate global convergence (“Brussels Effect”) shaping digital health. The volume serves clinicians, administrators, developers, policy and legal experts seeking rigorous yet accessible guidance.

    • Maps global health-AI regulation (EU AI Act, GDPR, HIPAA, WHO) into clear organizational requirements and governance models
    • Demonstrates compliance in practice through hospital and public-health case studies, checklists, and implementation guidance
    • Operationalizes ethics-to-action via explainability, bias mitigation, and privacy-preserving methods (e.g., federated learning, differential privacy)
    • Demonstrates compliance in practice through hospital and public-health case studies, checklists, and implementation guidance

    Produktinformation

    • Utgivningsdatum:2027-01-01
    • Mått:191 x 235 x undefined mm
    • Vikt:450 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Next Generation Technology Driven Personalized Medicine And Smart Healthcare
    • Antal sidor:200
    • Förlag:Elsevier Science
    • ISBN:9780443493706

    Utforska kategorier

    • Biologi inom Naturvetenskap och teknik

    Mer om författaren

    Miltiadis D. Lytras is an expert in advanced computer science and management, with extensive experience in academia and the business sector in Europe and Asia. He is a Research Professor at Deree College—The American College of Greece and a Distinguished Scientist at King Abdulaziz University, Saudi Arabia. Dr. Lytras specializes in cognitive computing, information systems, technology-enabled innovation, social networks, and knowledge management. He has coedited over 110 high-impact special issues in ISI/Scopus-indexed journals and authored more than 80 books with international publishers. Additionally, he has published over 120 high-impact papers in top-tier journals such as IEEE Transactions on Knowledge and Data Engineering and the Journal of Business Research. With 25 years of experience in Research and Development projects, Dr. Lytras has been involved in more than 70 R&D projects globally. He holds senior editorial positions in prestigious journals and is the Founding Editor and Editor in Chief of the International Journal on Semantic Web and Information Systems. Ms. Foteini Koutroumpa is a legal professional with over 20 years of experience in private law practice and active litigation. She is a specialist in AI compliance and regulation, with deep knowledge of the EU AI Act and a strong research focus on Responsible AI systems in the Government, Healthcare, and Energy sectors. Ms. Koutroumpa currently teaches Business Legal Issues at The American College of Greece and has previously taught courses in International Business Law and Management Principles. A Barrister of the Supreme Court of Greece, she has maintained her own law practice since 2003 and held advisory roles in major public and private sector projects. Her legal expertise spans commercial law, environmental law, contracts, and public procurement. She previously served as Legal Advisor for Ellaktor S.A. and worked with the Organizing Committee of the Athens 2004 Olympic Games on complex regulatory and contract matters.Dr. Akila Sarirete is Dean of Graduate Studies and Research at Effat University. She received her PhD degree in Computer Science and Knowledge Management. Her main research interests are in artificial intelligence, knowledge management, communities of practice, machine learning, big data, and service-oriented architectures. She presented her research work in several conferences in different countries. Dr. Sarirete has a vast experience in software development industry and software engineering. She is interested in engineering education, innovation, smart cities and villages especially, the human aspect and the collaborative work. Dr. Afnan Alkhaldi is Vice Rector for Academic Affairs and Research at the Arab Open University-Kuwait Branch. She holds a PhD in Operations and Information Management and specializes in smart cities, digital transformation, and e-government. She has served as a consultant in economic urban planning and smart city initiatives, supporting public-sector digital transformation, policy development, and data-driven decision-making. Dr. Alkhaldi is an active contributor to research on public sector innovation, healthcare digital ecosystems, and sustainable urban infrastructure. With a strong background in policy and systems thinking, she has supported national initiatives in Kuwait and across the GCC. Her work bridges academic insight and real-world transformation, emphasizing inclusive, efficient, and technologically advanced public services.

    Innehållsförteckning

    • 1. The EU AI Act and Its Implications for Healthcare2. Navigating GDPR and Data Privacy in AI Applications3. International AI Regulation: U.S., Japan, Australia, and Beyond4. WHO Guidance on Ethics & Governance of AI in Health5. Cross Jurisdictional Challenges and Global Harmonization6. Building Trustworthy and Explainable AI for Clinical Use7. Privacy Preserving AI in Healthcare: Techniques and Tools8. From Principles to Practice: Ethics by Design in AI Development9. Institutional Governance and Risk Management Models10. Implementing AI Compliance in Healthcare Organizations11. AI in Radiology and Diagnostics: From Deployment to Regulation12. AI for Mental Health and Predictive Interventions13. Cross Border Data Exchange and Compliance: The MyHealth@EU Case14. AI Driven Public Health Surveillance and Epidemic Prediction15. Responsible AI Startups: Innovation Within Regulatory Boundaries