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Artificial Intelligence in Smart Healthcare Systems


About the 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].

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Deep Learning in Medical Image Analysis Recent Advances and Future Trends

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

1st Edition

Forthcoming

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

Forthcoming

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 of AI-Based Models in Healthcare and Medicine Approaches, Theories, and Applications

Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications

1st Edition

Edited By Bhanu Chander, Koppala Guravaiah, B. Anoop, G. Kumaravelan
February 21, 2024

This handbook provides thorough, in-depth, and well-focused developments of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain approaches, along with their applications focused on healthcare systems. Handbook of ...

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 ...

Machine Learning in Healthcare and Security Advances, Obstacles, and Solutions

Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions

1st Edition

Edited By Prashant Pranav, Archana Patel, Sarika Jain
January 19, 2024

This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms. Machine Learning in Healthcare and Security: ...

Immersive Virtual and Augmented Reality in Healthcare An IoT and Blockchain Perspective

Immersive Virtual and Augmented Reality in Healthcare: An IoT and Blockchain Perspective

1st Edition

Edited By Rajendra Kumar, Vishal Jain, Garry Tan Wei Han, Adberezak Touzene
October 16, 2023

The book acts as a guide, taking the reader into the smart system domain and providing theoretical and practical knowledge along with case studies in smart healthcare. The book uses a blend of interdisciplinary approaches such as IoT, blockchain, augmented reality, and virtual reality for the ...

6G-Enabled IoT and AI for Smart Healthcare Challenges, Impact, and Analysis

6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis

1st Edition

Edited By Ashish Kumar, Rachna Jain, Meenu Gupta, Sardar M.N. Islam
June 21, 2023

In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI. ...

IoT in Healthcare Systems Applications, Benefits, Challenges, and Case Studies

IoT in Healthcare Systems: Applications, Benefits, Challenges, and Case Studies

1st Edition

Edited By Piyush Kumar Shukla, Aditya Patel, Prashant Kumar Shukla, Prashant Parashar, Basant Tiwari
May 24, 2023

Implementing new information technologies into the healthcare sector can provide alternatives to managing patients’ health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers...

Machine Learning and Artificial Intelligence in Healthcare Systems Tools and Techniques

Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques

1st Edition

Edited By Tawseef Ayoub Shaikh, Saqib Hakak, Tabasum Rasool, Mohammed Wasid
February 22, 2023

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in ...

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
September 21, 2022

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
August 08, 2022

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 ...

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