Artificial Intelligence in Healthcare Information Systems?Security and Privacy Challenges
Series: Information Systems Engineering and Management; 34;
- Publisher's listprice EUR 181.89
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77 157 Ft (73 483 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
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77 157 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Springer
- Date of Publication 30 March 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031844034
- Binding Hardback
- No. of pages216 pages
- Size 235x155 mm
- Language English
- Illustrations 6 Illustrations, black & white; 22 Illustrations, color 691
Categories
Short 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.
MoreLong 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.
MoreTable of 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.
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Artificial Intelligence in Healthcare Information Systems?Security and Privacy Challenges
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