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Artificial Intelligence-Enabled Security for Healthcare Systems

Safeguarding Patient Data and Improving Services

Monit Kapoor, Sunil Gupta, Sanjoy Kumar Debnath, et al.

PDF
ca. 181,89

Springer Nature Switzerland img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines

Beschreibung

The book "AI-Enabled Healthcare Security: Safeguarding Patient Data and Improving Outcomes" focuses on the role of artificial intelligence in enhancing healthcare security and improving patient outcomes. It covers the challenges and risks associated with cybersecurity threats in the healthcare industry and explores the use of AI-based cybersecurity solutions, machine learning algorithms, and predictive analytics to mitigate those risks.

The book is intended for healthcare professionals, cybersecurity experts, AI practitioners, and anyone interested in the intersection of healthcare, cybersecurity, and AI. It also highlights emerging technologies and future trends in AI and healthcare security.

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Schlagwörter

Predictive analytics, Cybersecurity, Governance and trust frameworks, Machine learning, Healthcare analytics, Data breaches, Artificial intelligence, Healthcare outcomes, Healthcare security, Patient data privacy