About the Book
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.
Table of 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
About the Author :
Bhupinder Singh is a professor at Sharda University, India. He is also Honorary Professor in the University of South Wales UK and Santo Tomas University Tunja, Colombia. His areas of specialization are fuzzy logics, artificial intelligence, robotics, machine learning, deep learning, federated learning, metaverse and many more. He has written three books and 139 papers, and has made 163 paper presentations in international/ national conferences and seminars, participated in more than 40 workshops/ Faculty Development Programmes (FDPs)/ Qualified institutional placements (QIPs), completed 25 courses from international universities of repute, organized more than 59 events with international and national academicians and industry people, and has been an editor- in- chief or co- editor of journals, and has developed new courses. He has given talks at international universities, acted as a resource person in international conferences such as in Nanyang Technological University Singapore, Tashkent State University of Law (Uzbekistan); KIMEP University (Kazakhstan); All’ah meh Tabatabi University (Iran); the Iranian Association of International Criminal Law (Iran); Hague Center for International Law and Investment (The Netherlands); Northumbria University Newcastle (UK); Taylor’s University (Malaysia); AFM Krakow University (Poland); European Institute for Research and Development (Georgia); Business and Technology University (Georgia); and Texas A & M University (USA) name a few. His leadership, teaching, research and industry experience span 16 years and three months.
Christian Kaunert is a professor at Dublin City University, Ireland. He is also a professor at the University of South Wales. In addition, he is Jean Monnet Chair, Director of the Jean Monnet Centre of Excellence and Director of the Jean Monnet Network on EU Counter- Terrorism (www.euc ter.net). Previously, he served as Academic Director and Professor at the Institute for European Studies, Vrije Universiteit Brussels, a Professor of International Politics, Head of Discipline in Politics, and the Director of the European Institute for Security and Justice, Jean Monnet Centre for Excellence, at the University of Dundee. Prof. Kaunert has researched and taught in many international universities, such as University of Shandong, Jinan (China), IBEI Barcelona (Spain), Diplomatic Academy Yerevan, (Armenia) – United Nations Development Mission, University of Cairo (Egypt), Collegio Carlo Alberto, Turin (Italy), Ecole nationale d’administration (Paris), European Institute of Public Administration Maastricht (Netherlands), European Studies Institute (ESI) at Moscow, and University of Porto (Portugal).
Balamurugan Balusamy is a distinguished academic and researcher in the field of computer science and engineering, currently serving as a Professor and Associate Dean at Shiv Nadar University, an institution of eminence in Delhi- NCR. With a robust academic foundation, Dr. Balamurugan holds a Ph.D. in computer science from VIT University and advanced degrees in engineering from Anna University and Bharathidasan University. His expertise spans across AI, Internet of Things (IoT), cloud computing, and cybersecurity, reflected in his extensive publication record, including over 100 books with reputed publishers such as Elsevier and Springer, as well as numerous SCI- indexed journal articles. His research has significantly contributed to areas like DNA- based cloud security, smart traffic management, and healthcare solutions using AI. Dr. Balamurugan’s global presence is marked by his adjunct professorship at Taylor’s University, Malaysia, and his engagements as a keynote speaker, session chair, and research collaborator across Europe, Asia, and the Middle East. Recognized for his excellence, he has received multiple research awards and facilitated academic collaborations with top QS-ranked universities.
Rajesh Kumar Dhanaraj is a distinguished Professor at Symbiosis International (Deemed University) in Pune, India. Before joining Symbiosis International University, he served as a Professor at the School of Computing Science and Engineering at Galgotias University in Greater Noida, India. His academic and research achievements have earned him a place among the top 2% of scientists globally, a recognition bestowed upon him by Elsevier and Stanford University. He earned his B.E. degree in Computer Science and Engineering from Anna University Chennai, India, in 2007. Subsequently, he obtained his M.Tech degree from Anna University, Coimbatore, India, in 2010. He holds a Ph.D. in Computer Science from Anna University, Chennai, India, in 2017. He has authored and edited over 60 books on various cutting- edge technologies and holds 23 patents. Furthermore, he has contributed over 150 articles and papers to esteemed refereed journals and international conferences, in addition to providing chapters for several influential books.
