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Artificial intelligence-enabled security for healthcare systems = safeguarding patient data and improving services /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial intelligence-enabled security for healthcare systems/ by Sunil Gupta, Monit Kapoor, Sanjoy Kumar Debnath.
Reminder of title:	safeguarding patient data and improving services /
Author:	Gupta, Sunil.
other author:	Kapoor, Monit.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	ix, 186 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Medical applications. -
Online resource:	https://doi.org/10.1007/978-3-031-82810-2
ISBN:	9783031828102

Artificial intelligence-enabled security for healthcare systems = safeguarding patient data and improving services /
Gupta, Sunil.

Artificial intelligence-enabled security for healthcare systemssafeguarding patient data and improving services /[electronic resource] :by Sunil Gupta, Monit Kapoor, Sanjoy Kumar Debnath. - Cham :Springer Nature Switzerland :2025. - ix, 186 p. :ill., digital ;24 cm.

Chapter.1. Introduction to AI and Privacy issues for Healthcare systems -- Chapter.2. Sensor Based IOT Enabled Healthcare Systems and Role of AI and Security -- Chapter.3. Cybersecurity Risks and Threats in Healthcare -- Chapter.4 AI-Based Cybersecurity Solutions for Healthcare -- Chapter.5 AI and Healthcare Analytics -- Chapter.6. Challenges and Risks of AI-Enabled Healthcare Security -- Chapter.7 Best Practices for Implementing AI-Enabled Healthcare Security -- Chapter.8 Impact of AI-Enabled Healthcare Security on Patient Outcomes -- Chapter.9. Future Directions for AI-Enabled Healthcare Security -- Chapter.10 Future Research Directions and Conclusion.

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.

ISBN: 9783031828102

Standard No.: 10.1007/978-3-031-82810-2doiSubjects--Topical Terms:

600038
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.285

Artificial intelligence-enabled security for healthcare systems = safeguarding patient data and improving services /
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520 $a 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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