Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation: Principles, Technologies, and Applications

· Academic Press
Ebook
440
Pages
Eligible
This book will become available on November 1, 2025. You will not be charged until it is released.

About this ebook

"Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation: Principles, Technologies, and Applications" drives development and improves the digital healthcare environment by leveraging the advantages that Artificial Intelligence (AI) and smart devices offer to the smart healthcare ecosystem. It not only includes principles, technologies, and applications related to the smart healthcare field, but also explores AI-embedded applications in smart devices, sensors, and IoT applications that are widely used worldwide for smart healthcare ecosystems. Across 18 chapters, the volume describes the principles, models, roles, and cutting-edge technologies within the digital healthcare ecosystem. It guides readers from the basics to the practical applications of AI, robotics, and AR/VR technologies in smart healthcare ecosystems. The title emphasizes the harmonization between human intelligence and artificial intelligence, not only in the healthcare sector but also across various aspects of human life. This integration contributes to the popularity of AI in the era of digital healthcare. Furthermore, the volume enhances literacy, particularly in medical healthcare, fosters 21st-century skills, keeps pace with the latest research developments, and applies new methodologies and technology to practical scenarios. The book provides nuanced knowledge that serves as a role model for creating new discoveries among medical industry specialists, academic researchers, scientists, and engineers in the fields of Medical, Healthcare, and Metaverse-based Healthcare.• Covers the cutting-edge medical technologies being used and developed for the smart digital healthcare ecosystem• Provides scenarios for learning to remotely monitor, manage and control devices, and to create new insights and actionable information from massive streams of real-time data in the smart digital healthcare ecosystem• Discusses both the medical technologies involved in a smart digital Healthcare sector and the security issues that need to be integral in the digital healthcare ecosystem

About the author

Alex Khang is an AI and Data scientist, and Chief of technology officer at the AI and Data Science Research Centre, Global Research Institute of Technology and Engineering, North Carolina, United States. Professor in Information Technology at University of Science and Technology in Vietnam, India, and United States; IT Workforce Development Consultant, Software industry expert, Software product manager for High-tech Corporations in Vietnam, EU and United States

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