Artificial Intelligence-Enabled Security for Healthcare Systems
Safeguarding Patient Data and Improving Services
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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.
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.
Extensive Coverage Useful Case Studies Interdisciplinary Insights
Autor*in
Sunil Gupta
Themen in »Artificial Intelligence-Enabled Security for Healthcare Systems«
Healthcare security Patient data privacy Artificial intelligence Machine learning Predictive analytics Cybersecurity Data breaches Healthcare analytics Healthcare outcomes Governance and trust frameworks