Artificial Intelligence in Healthcare Information Systems - Security and Privacy Challenges: 34 - Rilegato

Rilegato

ISBN 10: 3031844033 ISBN 13: 9783031844034

Casa editrice: Springer-Nature New York Inc, 2025

Riassunto

“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.

Su questo libro

Informazioni sull?autore

Narasimha Rao Vajjhala currently serves as the Dean of the Faculty of Engineering and Architecture at the University of New York Tirana in Albania. He previously held the position of Chair for the Computer Science and Software Engineering programs at the American University of Nigeria. Dr. Vajjhala is a senior member of both the ACM and IEEE. He is the Editor-in-Chief of the International Journal of Risk and Contingency Management (IJRCM) and a member of the Risk Management Society (RIMS) and the Project Management Institute (PMI). With over 23 years of experience, Dr. Vajjhala has taught programming and database-related courses across Europe and Africa at both graduate and undergraduate levels. He has also worked as a consultant for technology firms in Europe and participated in EU-funded projects. Dr. Vajjhala holds a Doctorate in Information Systems and Technology from the United States, a Master of Science in Computer Science and Applications from India, and a Master of Business Administration specializing in Information Systems from Switzerland.

Edlira Martiri is an Associate Professor at the University of Tirana, where she works as a researcher and lecturer. She has a background in Computer Science and Information Security and has been awarded two Ph.D. degrees from the University of Tirana, and NTNU, Norway. Both of her doctoral dissertations concentrated on data protection, with the first on images and the second on Biometric Systems and Machine Learning, highlighting her specialized knowledge in Information Security. Apart from her research work she has been involved in different roles in the industry where she has experience in threat analysis, attacker scenario modelling, risk management, and more.

Fisnik Dalipi holds a PhD in Computer Science and is currently working as an associate professor at the Department of Informatics of Linnaeus University (LNU) in Sweden. Besides, he also holds the title associate professor in information systems from the University of South-Eastern Norway, where he was previously working. His research embodies a robust interdisciplinary approach, leveraging computational approaches to address digitalization challenges in both industry and society. It bridges technology and societal needs, with a focus on areas like digital transformation and sustainable development. Dr. Dalipi's work emphasizes secure, efficient, and transformative data solutions to drive industry/society progress and innovation. His research applies AI to various domains, including security and privacy. Recently, he has been addressing blockchain and AI's role in improving privacy and security mechanisms in digital environments. He has been supervising students at different academic levels and has been involved in the development and curriculum preparation at all academic levels. He is actively serving as a program committee member and reviewer in many international conferences, workshops, and journals.

Bian Yang is a professor at the Norwegian University of Science and Technology (NTNU) in Gjøvik, specializing in biometrics, data privacy, and information security. He leads the eHealth and Welfare Security (eHWS) research group within NTNU’s Department of Information Security and Communication Technology. His academic qualifications include degrees in electronic engineering and information security from the Harbin Institute of Technology, followed by research in biometric data protection, privacy-enhancing technologies, and identity management. Bian Yang has been involved in several EU and national research projects and has published widely on topics such as biometric template protection, cryptosystems, and healthcare information security. His work is recognized internationally, and he continues to contribute to projects aimed at enhancing security in healthcare and identity management systems

Dalla quarta di copertina

“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.

Dettagli dell?edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 3031844033
• ISBN 13: 9783031844034
• Rilegatura: Copertina rigida
• Numero di pagine: 200
• Redattore: Vajjhala Narasimha Rao, Martiri Edlira, Dalipi Fisnik, Yang Bian
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com