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Artificial Intelligence in Smart Healthcare Systems

About the Book Series

The progress of the healthcare sector is incremental as it learns from associations between data over time through the application of suitable big data and IoT frameworks and patterns. Many healthcare service providers are employing IoT-enabled devices for monitoring patient health care, but their diagnosis and prescriptions are instance-specific only. However, these IoT-enabled healthcare devices are generating volumes of data (Big-IoT Data), that can be analyzed for more accurate diagnosis and prescriptions. A major challenge in the above realm is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives shall be intolerable in healthcare as patient’s lives are at stake.

This new book series addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns. Healthcare is a multidisciplinary field that involves a range of factors like the financial system, social factors, health technologies, and organizational structures that affect the healthcare provided to individuals, families, institutions, organizations, and populations. The goals of healthcare services include patient safety, timeliness, effectiveness, efficiency, and equity. Smart healthcare consists of m-health, e-health, electronic resource management, smart and intelligent home services, and medical devices. The Internet of Things (IoT) is a system comprising real-world things that interact and communicate with each other via networking technologies. The wide range of potential applications of IoT includes healthcare services. IoT-enabled healthcare technologies are suitable for remote health monitoring, including rehabilitation, assisted ambient living, etc. In turn, healthcare analytics can be applied to the data gathered from different areas to improve healthcare at a minimum expense.

If you are interested in writing or editing a book for the series or would like more information, please contact Cindy Carelli, [email protected].

15 Series Titles


Deep Learning in Medical Image Analysis Recent Advances and Future Trends

Deep Learning in Medical Image Analysis: Recent Advances and Future Trends

1st Edition

Edited By R. Indrakumari, T. Ganesh Kumar, D. Murugan, Sherimon P.C.
July 10, 2024

This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in a rapid ...

Smart Technologies in Healthcare Management Pioneering Trends and Applications

Smart Technologies in Healthcare Management: Pioneering Trends and Applications

1st Edition

Edited By Nidhi Sindhwani, Sarvesh Tanwar, Ajay Rana, Ramani Kannan
June 28, 2024

Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in...

Handbook on Augmenting Telehealth Services Using Artificial Intelligence

Handbook on Augmenting Telehealth Services: Using Artificial Intelligence

1st Edition

Edited By Sonali Vyas, Sunil Gupta, Monit Kapoor, Samiya Khan
January 30, 2024

Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart ...

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