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Artificial Intelligence Technology in Healthcare : Security and Privacy Issues

By: (Edited by) Deepak Sinwar , (Edited by) Durgesh Srivastava , (Edited by) Neha Sharma

Manufacture on Demand

Ksh 27,900.00

Format: Hardback or Cased Book

ISBN-10: 1032428392

ISBN-13: 9781032428390

Series: Advances in Smart Healthcare Technologies

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 5th, 2024

Print length: 312 Pages

Weight: 620 grams

Product Classification: Medical bioinformatics
Epidemiology & medical statistics
Health systems & services
Electrical engineering
Automatic control engineering

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  • Description

  • Reviews

This book explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to develop AI-based security mechanisms which can gather or share data across healthcare applications.

Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients’ privacy and data security including data breaches in healthcare organizations, unauthorized access to patients’ information, and medical identity theft. It explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to developing artifiicial intelligence (AI)-based security mechanisms which can gather or share data across several healthcare applications securely and privately.

Features:

  • Combines multiple technologies (i.e., Internet of Things [IoT], Federated Computing, and AI) for managing and securing smart healthcare systems.

  • Includes state-of-the-art machine learning, deep learning techniques for predictive analysis, and fog and edge computing-based real-time health monitoring.

  • Covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches.

  • Focuses on latest research on privacy, security, and threat detection on COVID-19 through IoT.

  • Illustrates initiatives for research in smart computing for advanced healthcare management systems.

This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering.

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