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Privacy-Preserving AI in Healthcare: Techniques and Applications provide a comprehensive exploration of how artificial intelligence can revolutionize healthcare while safeguarding sensitive patient information. The book examines the growing role of AI in clinical decision-making, medical imaging, predictive analytics, drug discovery, and remote patient monitoring, alongside the critical need for privacy, security, and ethical compliance. It introduces key privacy-preserving techniques such as data anonymization, differential privacy, federated learning, homomorphic encryption, and secure multi-party computation, explaining their practical applications in modern healthcare systems. Readers will gain insights into regulatory frameworks including HIPAA and GDPR, challenges in Electronic Health Records (EHR) management, and strategies for secure healthcare data sharing. The book also addresses ethical concerns such as fairness, transparency, and bias in AI-driven healthcare. Designed for researchers, students, healthcare professionals, and technology practitioners, this book highlights future directions and innovations in secure and trustworthy healthcare AI.
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Paperback. Zustand: new. Paperback. Privacy-Preserving AI in Healthcare: Techniques and Applications provide a comprehensive exploration of how artificial intelligence can revolutionize healthcare while safeguarding sensitive patient information. The book examines the growing role of AI in clinical decision-making, medical imaging, predictive analytics, drug discovery, and remote patient monitoring, alongside the critical need for privacy, security, and ethical compliance. It introduces key privacy-preserving techniques such as data anonymization, differential privacy, federated learning, homomorphic encryption, and secure multi-party computation, explaining their practical applications in modern healthcare systems. Readers will gain insights into regulatory frameworks including HIPAA and GDPR, challenges in Electronic Health Records (EHR) management, and strategies for secure healthcare data sharing. The book also addresses ethical concerns such as fairness, transparency, and bias in AI-driven healthcare. Designed for researchers, students, healthcare professionals, and technology practitioners, this book highlights future directions and innovations in secure and trustworthy healthcare AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798905603518
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Paperback. Zustand: new. Paperback. Privacy-Preserving AI in Healthcare: Techniques and Applications provide a comprehensive exploration of how artificial intelligence can revolutionize healthcare while safeguarding sensitive patient information. The book examines the growing role of AI in clinical decision-making, medical imaging, predictive analytics, drug discovery, and remote patient monitoring, alongside the critical need for privacy, security, and ethical compliance. It introduces key privacy-preserving techniques such as data anonymization, differential privacy, federated learning, homomorphic encryption, and secure multi-party computation, explaining their practical applications in modern healthcare systems. Readers will gain insights into regulatory frameworks including HIPAA and GDPR, challenges in Electronic Health Records (EHR) management, and strategies for secure healthcare data sharing. The book also addresses ethical concerns such as fairness, transparency, and bias in AI-driven healthcare. Designed for researchers, students, healthcare professionals, and technology practitioners, this book highlights future directions and innovations in secure and trustworthy healthcare AI. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9798905603518
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Privacy-Preserving AI in Healthcare: Techniques and Applications provide a comprehensive exploration of how artificial intelligence can revolutionize healthcare while safeguarding sensitive patient information. The book examines the growing role of AI in clinical decision-making, medical imaging, predictive analytics, drug discovery, and remote patient monitoring, alongside the critical need for privacy, security, and ethical compliance. It introduces key privacy-preserving techniques such as data anonymization, differential privacy, federated learning, homomorphic encryption, and secure multi-party computation, explaining their practical applications in modern healthcare systems. Readers will gain insights into regulatory frameworks including HIPAA and GDPR, challenges in Electronic Health Records (EHR) management, and strategies for secure healthcare data sharing. The book also addresses ethical concerns such as fairness, transparency, and bias in AI-driven healthcare. Designed for researchers, students, healthcare professionals, and technology practitioners, this book highlights future directions and innovations in secure and trustworthy healthcare AI. Bestandsnummer des Verkäufers 9798905603518
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Paperback. Zustand: new. Paperback. Privacy-Preserving AI in Healthcare: Techniques and Applications provide a comprehensive exploration of how artificial intelligence can revolutionize healthcare while safeguarding sensitive patient information. The book examines the growing role of AI in clinical decision-making, medical imaging, predictive analytics, drug discovery, and remote patient monitoring, alongside the critical need for privacy, security, and ethical compliance. It introduces key privacy-preserving techniques such as data anonymization, differential privacy, federated learning, homomorphic encryption, and secure multi-party computation, explaining their practical applications in modern healthcare systems. Readers will gain insights into regulatory frameworks including HIPAA and GDPR, challenges in Electronic Health Records (EHR) management, and strategies for secure healthcare data sharing. The book also addresses ethical concerns such as fairness, transparency, and bias in AI-driven healthcare. Designed for researchers, students, healthcare professionals, and technology practitioners, this book highlights future directions and innovations in secure and trustworthy healthcare AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798905603518
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Taschenbuch. Zustand: Neu. Privacy-Preserving AI in Healthcare | Techniques and Applications | Ajit Sahu (u. a.) | Taschenbuch | Englisch | 2026 | Notion Press | EAN 9798905603518 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 135900327
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