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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


Next Generation Healthcare Systems Using Soft Computing Techniques

Next Generation Healthcare Systems Using Soft Computing Techniques

1st Edition

Edited By Rekh Ram Janghel, Rohit Raja, Korhan Cengiz, Hiral Raja
October 09, 2024

This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book also highlights implementation strategies, lists problem-solving solutions, and paves the way...

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

1st Edition

Edited By Teena Bagga, Kamal Upreti, Nishant Kumar, Amirul Hasan Ansari, Danish Nadeem
October 07, 2024

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in ...

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 ...

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