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].
Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications
1st Edition
Edited
By Bhanu Chander, Koppala Guravaiah, Anoop Benet Nirmala, G. Kumaravelan
July 30, 2025
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 ...
Neural Rehab: Deep Learning in Healthcare Revitalization
1st Edition
By Sima Das, Parijat Bhowmick, Farshad Arvin, Arpan Adhikary
July 30, 2025
In recent years, the integration of cutting-edge technology with healthcare has led to groundbreaking advancements. Deep learning, in particular, has emerged as a revolutionary force, poised to transform the field of neural rehabilitation. This book sets the stage for the exploration of deep ...
Generative Artificial Intelligence in Healthcare: Current Practices and Future Development
1st Edition
Edited
By Rajendra Kumar, Shankar Ramamoorthy, Vishal Jain, Utku Köse, Ong Eng Tek
July 28, 2025
Generative artificial intelligence (AI) is a transformative force in smart healthcare. It can produce contents virtually indistinguishable from human-created material, with the power to redefine healthcare and revolutionize how medical science interacts with technology. This book presents the ...
Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions
1st Edition
Edited
By Prashant Pranav, Archana Patel, Sarika Jain
June 26, 2025
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: ...
Revolutionizing Healthcare Services: Unleashing Innovation through Generative AI
1st Edition
Edited
By Babita Singla, Kumar Shalender, Nripendra Singh, Sandhir Sharma
June 09, 2025
The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector. From generating valuable insights about patients to automating operations, streamlining patient care, and implementing preventive technologies, ...
AIoT Innovations in Digital Health: Emerging Trends, Challenges, and Solutions
1st Edition
Edited
By Inam Ullah Khan, Salma El Hajjami, Shashi Kant Gupta, Hameedur Rahman, Thiagarajan Yogamoorthi, Inam Ullah, Muhammad Adnan Khan
May 20, 2025
Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs. This book discusses the use of AI to improve diagnostic accuracy, patient monitoring, the use of remote diagnostic ...
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
January 30, 2025
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 ...
Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques
1st Edition
Edited
By Tawseef Ayoub Shaikh, Saqib Hakak, Tabasum Rasool, Mohammed Wasid
December 30, 2024
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 ...
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
November 29, 2024
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
1st Edition
Edited
By Piyush Kumar Shukla, Aditya Patel, Prashant Kumar Shukla, Prashant Parashar, Basant Tiwari
October 09, 2024
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...
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
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 ...