Dr. Abdul Razzak Khan Qureshi, Dr. Rajesh Kumar Maurya, Dr. E. Suresh Babu, Prof. Dinesh Vijay Jamthe
Indexed In: Google scholar
Release Date: 18/03/2026 | Copyright:©2026 | Pages: 512
ISBN10: 9349552965 | ISBN13: 9789349552968
This book explores the transformative role of advanced technologies in revolutionizing healthcare through intelligent systems. It delves into how Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Cloud Computing, and Nanotechnology are being integrated to create smart healthcare solutions that enhance disease diagnosis, management, and treatment. The book covers cutting-edge AI-driven applications that allow for accurate diagnostics, predictive analytics, and personalized treatment plans. It also explores how IoT devices enable continuous health monitoring and real-time data collection, providing healthcare professionals with valuable insights for proactive patient care. Cloud computing ensures scalable and secure storage, facilitating collaboration across global healthcare networks. Additionally, the application of nanotechnology is examined, showing its potential in drug delivery systems and early disease detection. By combining these technologies, this book highlights the future of healthcare as an intelligent, interconnected ecosystem that is more efficient, accurate, and patient-centric.
This book provides a comprehensive overview of the integration of key technological advancements shaping the future of healthcare. It covers the role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing diagnostic accuracy, enabling predictive modeling for early disease detection, and optimizing treatment strategies tailored to individual patient needs. The book explores Internet of Things (IoT) applications in healthcare, highlighting the use of smart devices and wearables for continuous health monitoring and real-time data exchange. It also emphasizes the impact of Cloud Computing on healthcare infrastructure, enabling the seamless sharing of data across medical institutions and ensuring the scalability of healthcare solutions. Additionally, the book examines the promising contributions of Nanotechnology in the development of miniaturized diagnostic tools, targeted drug delivery systems, and innovative treatment options. By bringing together these technologies, the book discusses the potential of Intelligent Smart Healthcare in improving patient outcomes, reducing healthcare costs, and creating more accessible and efficient healthcare systems globally. Through case studies and expert insights, the book offers a detailed exploration of how these technologies are transforming disease diagnosis, management, and overall patient care.
Dr. Abdul Razzak Khan Qureshi is an academic, researcher, and innovator dedicated to advancing responsible artificial intelligence and healthcare technologies. He serves as an Assistant Professor in the Department of Computer Science at Medicaps University, Indore, where his work integrates artificial intelligence, medicine, and intelligent systems to develop socially relevant and ethically grounded solutions. His research portfolio comprises 22 peer-reviewed publications, two authored books, and multiple book chapters, with core contributions in explainable artificial intelligence, medical image analysis, ECG-based cardiac diagnostics, and IoT-enabled healthcare systems. He also holds 11 registered patents and industrial designs in India and the United Kingdom, reflecting a strong commitment to translating research into practical, high-impact technologies. As an editor and reviewer for international journals, Dr. Qureshi upholds standards, research integrity, and interdisciplinary collaboration. He views editorial leadership as a responsibility to nurture research, encourage innovation, and advance knowledge that bridges science, technology, and human well-being.
Dr. Rajesh Kumar Maurya is an accomplished academician in Computer Science and Engineering, currently serving as an Associate Professor in the Department of Computer Applications at ABES Engineering College, Ghaziabad, Uttar Pradesh, India. His academic specializations include Artificial Intelligence, Machine Learning, Computational Biology, and AI in Agricultural Studies.He received his MCA degree from Chaudhary Charan Singh University, Meerut, Uttar Pradesh, and earned his M.Tech. (Computer Science and Engineering) as well as his Ph.D. (Computer Science) from Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh. In 2018, he qualified the National Eligibility Test (NET) for Lectureship in Computer Science and IT.Dr. Maurya actively participates in academic and research activities. He contributes to knowledge dissemination through research publications, conferences, and academic forums. He has organized and attended numerous international and national conferences, workshops, seminars, and faculty development programs (FDPs). He has authored four textbooks and published more than 25 research articles and case studies in reputed international journals and conferences, along with several patents.
Dr. E. Suresh Babu is an accomplished academician and researcher with over 19 years of teaching experience in Computer Science and Engineering. He currently serves as Associate Professor and Associate Head in the Department of CSE at CMR Engineering College. He earned his B.Tech from Jawaharlal Nehru Technological University, M.Tech from Jawaharlal Nehru Technological University Hyderabad, and Ph.D. in Computer Science from Himalayan University. His academic contributions include 22 publications in reputed international journals and conferences and 7 published patents in emerging areas of Computer Science. In recognition of his scholarly excellence, he has received the Young Researcher Award. Dr. Suresh Babu has also played an active role in faculty development by organizing Faculty Development Programs (FDPs) in coordination with National Institute of Technical Teachers Training and Research, promoting outcome-based education and industry–academia collaboration. Additionally, he successfully completed the NPTEL Telugu Translation initiative, contributing to inclusive and accessible technical education through regional languages.
Prof. Dinesh Vijay Jamthe completed his B.E. degree in Information Technology from Rashtrasant Tukadoji Maharaj Nagpur University, Maharashtra, India, in 2005, followed by an M.E. degree in Wireless Communication & Computing from G. H. Raisoni College of Engineering, RTMNU University, in 2012. He is currently pursuing Ph.D. in Computer Science & Engineering from Indian Institute of Information Technology (IIITN), Nagpur, Maharashtra. With over 19 years of academic and professional experience, he is presently working as an Assistant Professor in the Department of Computer Science and Engineering at Priyadarshini Bhagwati College of Engineering, Nagpur. His research area includes Networking, Network Security, Data Science, ML/DL in Healthcare System.
