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Full Description
This book explores the intersection of legal frameworks, healthcare innovation, and computational intelligence, shedding light on how emerging technologies like artificial intelligence (AI) and machine learning (ML) are reshaping the medical landscape. It presents real- life challenges such as patient privacy, data security, and compliance issues in smart healthcare by delving into the associated ethical and regulatory implications. Comprising the concepts of predictive analytics, regulatory compliance algorithms, and legal decision- making processes, this book offers a roadmap for stakeholders to navigate the evolving landscape of healthcare innovation responsibly and ethically.
Features:
Investigates how artificial intelligence supports legal decision- making processes in smart healthcare, addressing ethical and accountability concerns
Demonstrates the use of smart contracts and automation tools powered by computational intelligence to streamline legal processes and ensure compliance in smart healthcare initiatives
Focuses on managing healthcare data within legal frameworks, emphasizing the role of computational intelligence's in ensuring privacy and security
Examines how computational intelligence enables predictive analytics models to anticipate legal challenges and compliance issues in smart healthcare
Highlights the development and implementation of computational algorithms for navigating evolving legal frameworks in healthcare
This reference book is a useful resource for scholars and researchers working on smart healthcare.
Contents
1. Machine Learning Methods in Smart Healthcare Informatics: Tracking Human Activities and Diagnosis Technologies 2. From Algorithms to Accountability: Legal Considerations for AI- Assisted Healthcare System 3 Smart Health: The Intersection of IoT, AI, and Ethical Challenges in Healthcare 4. Balancing Innovation and Access: The Role of Intellectual Property in Healthcare 5. Legal Accountability in AI- Enhanced Healthcare: A Socio- Legal Perspective 6. Ethical and Legal Dimensions of AI in Healthcare: A Deep Learning Perspective 7. Challenges and Optimizing Opportunities of AI for Enhanced Healthcare Professionals' Performance in Healthcare Industry 8. Leveraging Artificial Intelligence in Mental Health Care Support in Healthcare Industries 9. Balancing Act between Innovation and Regulation: Case Study from Virtual Health Assistant Experience 10. AI, Ethics and Patient Autonomy: A Framework for Accountability in Healthcare 11. Legal Dimension of Deep Learning in Digital Healthcare for Privacy, Security, and Governance. Index
