Artificial Intelligence in Healthcare Information Systems—Security and Privacy Challenges (Information Systems Engineering and Management)

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Artificial Intelligence in Healthcare Information Systems—Security and Privacy Challenges (Information Systems Engineering and Management)

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  • 製本 Hardcover:ハードカバー版／ページ数 216 p.
  • 言語 ENG
  • 商品コード 9783031844034

Full Description

"Artificial Intelligence (AI) in Healthcare Information Systems: Security and Privacy Challenges" offers a deep dive into the integration of AI in healthcare, with a primary focus on addressing the significant security and privacy concerns that arise in this domain. The chapters in this book highlight the transformative potential of AI in diagnosing and predicting diseases, as well as its impact on fields like fetal medicine, but places special emphasis on the need for robust encryption, data protection techniques, and ethical considerations to safeguard sensitive healthcare data. The book also explores global case studies, from India to Kazakhstan, outlining the challenges and prospects of AI adoption in diverse healthcare settings. Readers will gain insights into AI's role in improving patient outcomes while navigating the complexities of data privacy and security. The book is a valuable resource for healthcare professionals, technologists, and policymakers who are focused on implementing AI-driven solutions securely and ethically in healthcare systems.

Contents

Artificial Intelligence in Healthcare: Navigating Security and Privacy Challenges.- Artificial Intelligence in Diagnostic and Disease Prediction.- Comprehensive Analysis of Machine Learning Approaches for Identifying Polycystic Ovary Syndrome.- Artificial Intelligence: A New Paradigm in Fetal Medicine Research and Clinical Practice.- Trends in Artificial Intelligence for Disease and Diagnostic Prediction: A Healthcare Perspective.- Exploring the Impact of Perceived Entrepreneurial Mindset and AI Adoption on Customer Experiences: A Study of Just Ask Chatbot Users.- Ethical Considerations and Bias in AI Applications in Healthcare.- A Comprehensive Review of Encryption and Protection Techniques for Healthcare Data.- Artificial Intelligence (AI) Adoption and Implementation Challenges in Indian Healthcare Sector.- Problems and Prospects of AI in the Global Healthcare Sector: A Case of Kazakhstan.- Transforming Healthcare with AI: The Role of Health Informatics and Provider Perspectives.