Industry 5.0 for Society 5.0: Advancing Medical IoT and Smart Healthcare (Part 1)

Editors: Parikshit N. Mahalle, Gitanjali R. Shinde, Namrata N. Wasatkar, Prashant R. Anerao

Industry 5.0 for Society 5.0: Advancing Medical IoT and Smart Healthcare (Part 1)

ISBN: 979-8-89881-046-7
eISBN: 979-8-89881-045-0 (Online)

Introduction

This timely and comprehensive volume explores the evolving concept of Society 5.0 — a forward-looking, human-centered society where cutting-edge technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), robotics, and augmented reality seamlessly integrate into daily life, healthcare, industry, and public services to enhance quality of life and social well-being. Industry 5.0, as a vital enabler of this vision, emphasizes collaborative interactions between humans and smart systems, driving innovations in personalized healthcare, sustainable industries, and connected communities.

This first part of a multi-volume set provides readers with foundational insights into the principles, enabling technologies, and strategic opportunities shaping Industry 5.0 and Society 5.0. Edited contributions from subject matter experts offer a roadmap for harnessing Medical IoT (Internet of Medical Things) applications within this new societal framework. The book covers essential topics such as high-performance computing in healthcare decision support, AI-driven diagnostic solutions, cybersecurity in digital health systems, and ethical data practices in patient care. It also highlights emerging use cases, including IoT-enabled wearable devices for women’s security and smart diagnostic tools for early disease detection.

Key Features:

  • - Presents a detailed overview of Industry 5.0 and Society 5.0, their fundamentals, enabling technologies, and future prospects.
  • - Examines the role of Industry 5.0 in transforming medical and healthcare services through the integration of IoT and AI-driven solutions.
  • - Explores innovative applications such as AI-based diabetic retinopathy detection, IoT applications in digital healthcare, and patient-centric data ethics frameworks.
  • - Discusses advances in smart farming and sustainable industrial practices within the Industry 5.0 paradigm.
  • - Highlights opportunities for bridging research gaps in high-performance computing for holistic healthcare decision support.
  • - Provides use case studies on IoT-enabled healthcare security solutions and digital health systems.


Readership:

This volume is an essential resource for researchers, healthcare technologists, academicians, policy planners, and professionals interested in the socio-economic and technological impacts of Industry 5.0 and Society 5.0. It is also a resource for general readers seeking to understand how Medical IoT and smart healthcare technologies are reshaping patient care, industry practices, and connected societies.

Contributors

Editor(s):
Parikshit N. Mahalle
Department of AI & DS
Vishwakarma Institute of Technology
Pune
India


Gitanjali R. Shinde
Department of CSE AIML
Vishwakarma Institute of Technology
Pune
India


Namrata N. Wasatkar
Department of Computer Engineering
Vishwakarma Institute of Technology
Pune
India


Prashant R. Anerao
Department of Mechanical Engineering
Vishwakarma Institute of Technology
Pune
India




Contributor(s):
Aniket S. Ingavale
School of Engineering and Technology
DES Pune University
Pune
India


B. Subashini
Department of Mechatronics Engineering
Kumaraguru College of Technology, Coimbatore
Tamil Nadu
India


Grishma Y. Bobhate
Department of Computer Science & Engineering-Artificial Intelligence & Machine Learning
Vishwakarma Institute of Technology
Pune
India


Jayashri Bagade
Department of Information Technology
Vishwakarma Institute of Technology
Pune
India


K. Swetha
Department of Computer Science and Engineering
Kumaraguru College of Technology, Coimbatore
Tamil Nadu
India


L. Feroz Ali
Department of Mechatronics Engineering
Sri Krishna College of Engineering and Technology, Coimbatore
Tamil Nadu
India


Mrunmayee Solkar
Department of Information Technology
Vishwakarma Institute of Technology
Pune
India


Nilesh Sable
Department of Information Technology
Vishwakarma Institute of Technology
Pune
India


Pranjal S. Pandit
Department of Computer Science & Engineering- Artificial Intelligence
Vishwakarma Institute of Technology
Pune
India


Pallavi Devendra Deshpande
Department of Electronics and Telecommunication Engineering
Vishwakarma Institute of Technology
Pune
India


P. Sudam Sekhar
Department of Mathematics and Statistics
Vignan University
Guntur
India


R. Raffik
Department of Mechatronics Engineering
Kumaraguru College of Technology Coimbatore
Tamil Nadu
India


R.P. Roshan
Department of Mechatronics Engineering
Kumaraguru College of Technology Coimbatore
Tamil Nadu
India


R. Asvitha
Department of Mechatronics Engineering
Kumaraguru College of Technology, Coimbatore
Tamil Nadu
India


Rutuja Diwate
Department of Information Technology
Vishwakarma Institute of Technology
Pune
India


Rohini Chavan
E & TC Department
Vishwakarme Institute Of Technology
Pune
India


Rakesh Nayak
Department of CSE
OP Jindal University
Raigarh
India


S. Karthikeyan
Department of Mechanical Engineering
Christian College of Engineering and Technology
Oddanchatram, Tamil Nadu
India


Saurabh Sathe
Department of Computer Science
San Jose State University, San Jose
California
USA


Santosh Kumar
Department of Artificial Intelligence & Data Science
Vishwakarma Institute of Technology, Pune
Maharashtra 411048
India


Soumya Ranjan Mahanta
Department of Computer Science
Utkal University, Bhubaneswar
Odisha
India


Shreyash Shabadi
E & TC Department
Vishwakarme Institute Of Technology
Pune
India


Tanmay Anil Rathi
IT Department
New York University
New York, NY 10012
USA


Umashankar Ghugar
Department of CSE, University Institute of Engineering (UIE)
Chandigarh University, Mohali
Punjab
India


W. Aagasha Maria
Department of Mechatronics Engineering
Kumaraguru College of Technology, Coimbatore
Tamil Nadu
India




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