Artificial intelligence-enabled security for healthcare systems: Safeguarding Patient Data and Improving Services

By:

Gupta, Sunil

Contributor(s):

Material type: Text

TextPublication details: Springer Switzerland 2025Description: ix, 186 pISBN:

9783031828096

Subject(s):

DDC classification:

610.285 GUP

Summary: 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. (https://link.springer.com/book/10.1007/978-3-031-82810-2)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Public Policy & General Management	610.285 GUP (Browse shelf(Opens below))	1	Available		008749

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.

(https://link.springer.com/book/10.1007/978-3-031-82810-2)

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