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Artificial intelligence-enabled secu...
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Gupta, Sunil.
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Artificial intelligence-enabled security for healthcare systems = safeguarding patient data and improving services /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Artificial intelligence-enabled security for healthcare systems/ by Sunil Gupta, Monit Kapoor, Sanjoy Kumar Debnath.
其他題名:
safeguarding patient data and improving services /
作者:
Gupta, Sunil.
其他作者:
Kapoor, Monit.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
ix, 186 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence - Medical applications. -
電子資源:
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 systems
safeguarding 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:
900591
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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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.
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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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