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Artificial Intelligence in Healthcare Information Systems—Security and Privacy Challenges

Artificial Intelligence in Healthcare Information Systems—Security ...

Inhalt

“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.

Bibliografische Angaben

März 2025, 216 Seiten, Information Systems Engineering and Management, Englisch
Springer International Publishing
978-3-031-84403-4

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Weitere Titel der Reihe: Information Systems Engineering and Management

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