Computer Science & Information Management

AAP Advances in Materials, Manufacturing and Computational Intelligence Techniques

Quantum-Powered Healthcare
Converging AI, IoT, and Intelligent Medicine

Editors: Mudassir Khan, PhD
Rajesh Dey, PhD
Vanita G. Kshirsagar, PhD

Not for sale at this time
Quantum-Powered Healthcare

In Production
Pub Date: Forthcoming October 2027
Hardback Price: $190 US | £150 UK
Hard ISBN: 
Pages: Est 366 pp w index
Binding Type: Hardback / ebook
Series: AAP Advances in Materials, Manufacturing and Computational Intelligence Techniques
Notes: 11 color and 2 b/w illustrations

The convergence of quantum computing, artificial intelligence (AI), and the Internet of Things (IoT) is opening new possibilities for intelligent, connected, and adaptive healthcare. This new book, Quantum-Powered Healthcare: Converging AI, IoT, and Intelligent Medicine, explores this emerging synergy and its potential to transform medical data analysis, diagnostics, personalized treatment, patient monitoring, and healthcare delivery.

Beginning with the foundations of quantum computing, quantum machine learning, AI, and IoT-enabled healthcare, the book examines how these technologies can work together to address increasingly complex and data-intensive medical challenges. It considers quantum-enhanced approaches to high-dimensional healthcare data, ECG analysis, medical imaging, predictive diagnostics, drug discovery, personalized medicine, and genomics. Practical frameworks and healthcare applications help connect developing theory with real-world needs.

The volume also recognizes that technological advancement must be accompanied by trust and responsible implementation. Chapters address explainable AI, privacy, cybersecurity, quantum-secured data, ethical concerns, and regulatory challenges. Applications involving mental health and cognitive disorder assessment further demonstrate the breadth of quantum intelligence in emerging healthcare environments.

Key features:
• Provides an accessible foundation in quantum computing, quantum machine learning, AI, and IoT for healthcare.
• Explores quantum-enhanced diagnostics, medical analytics, imaging, drug discovery, genomics, and personalized medicine.
• Examines explainable AI, data privacy, security, ethics, and regulatory considerations.
• Connects theoretical concepts with frameworks, applications, and emerging healthcare use cases.

For researchers, healthcare professionals, engineers, academicians, and students, the book provides a thorough overview of the technologies, applications, challenges, and future directions shaping intelligent, secure, and increasingly adaptive healthcare systems.

CONTENTS:
Preface

PART 1: QUANTUM INTELLIGENCE AND SMART HEALTHCARE SYSTEMS

1. Quantum-AI Synergy in Healthcare: Ethical Dilemmas, Computational Challenges, and Future Prospects
Vanita Kshirsagar, Pranjal Mohite, Poonam Mohite, Anupam Bonkra, Rajesh Dey, and Izhar Husain

2. Fundamentals of Quantum Computing and Quantum Machine Learning
Pranjali Bahalkar, Ashwini B. Gavali, Vidhya Gavali, Sagar Bhamare, Rajesh Dey, and Mohammed Inamur Rahman

3. Explainable AI for Transparent and Trustworthy Healthcare Systems
Nitin N. Sakhare, Swapnil K. Shinde, Vaibhav Khatavkar, Vikas B. Maral, Ishita Singh, and Divya Midhunchakkaravarthy

4. Empowering Smart Healthcare Systems Through the Internet of Things: Innovations, Applications, and Future Prospects
Anupam Bonkra, Shanky Goyal, Mani Goyal, Jai Sonker, Mohd Asif Nayef Shah, and Ahmad Alhalaybeh

5. Cloud-Powered Quantum Computing: Transforming Drug Discovery and Next-Gen Healthcare Solutions
Vanita Kshirsagar, Pranjal Mohite, Poonam Mohite, Anupam Bonkra, Izhar Husain, and Mohammad Mazhar Nezami

PART 2: QUANTUM-ENABLED ANALYTICS, SECURITY, AND INTELLIGENT HEALTHCARE

6. A Review on Quantum AI-Powered ECG Analysis: Automated Precision Diagnostic Tools for Advancing Cardiovascular Care
Srinivasulu Avvaru, Anjali G, Dileep Kumar Y, Nikhila Kothirisetty, Guda Dinneswara Reddy, and Pallavali Roja Rani

7. Processing High-Dimensional Healthcare Data Using Quantum PCA
Kedar Nath Singh, Harsh Pratap Singh, Balwant Singh Raghuwanshi, Shantilal Bhayal, Manish Kumar Suman, and Sai Kiran Naik Banoth

8. Quantum Medical Analytics: A Strategic Framework for Next-Gen Diagnostics
Sonali B. Gavali, Anjali S. More, Swati Mugale, Vaibhav Vilas Edake, Mayur Shinde, and Ibtissam Chouja

9. Quantum-Assisted Medical Imaging in Intelligent Healthcare Environments
Sonali Sawardekar, Savita Sawant, Apurva Kandelkar, Sonali Gavali, Rajesh Dey, and Saurav Mallik

10. Personalized Medicine and Genomics Using Quantum AI and IoT
Sneha Kanawade, Suvarna Patil, Deepali Hajare, Bhakti Badhe, Saloni Alwani, and Sarika Patil

PART 3: ETHICS, CASE STUDIES, AND FUTURE DIRECTIONS

11. Ethical, Privacy, and Regulatory Challenges in Quantum-Enabled Healthcare
Pranjali Bahalkar, Neeta Mahale, Disha Sengupta, Sagar Bhamare, Maram Bani Younes, and Tanveer Ahmad

12. Quantum Intelligence Framework for Early Mental Health and Cognitive Disorder Assessment
Sunita Patil, Swetta Kukreja, Bhushan Choudhari, Priyanka Patil, Sagar Bhamare, and Tanveer Ahmad

13. Quantum-Driven Healthcare: Innovations, Challenges, and Future Prospects
Jyotsna Vilas Barpute, Rupali Mahajan, Shubhangi Vairagar, Sonali Sawardekar, Muddasir Khan, and Nayef Ahmad Alhalaybeh

14. Convergence of Quantum Computing and AI for Intelligent Healthcare Systems
Apurva Kandelkar, Sheetal Patil, Kalyan Bamane, Arati Kale, Mohammad Mazhar Nezami, and Saurav Mallik

Index


About the Authors / Editors:
Editors: Mudassir Khan, PhD
Assistant Professor, Department of Computer Science, College of Computer Science, Applied College, Tanumah, King Khalid University, Saudi Arabia

Mudassir Khan, PhD, is an Assistant Professor in the Department of Computer Science, College of Computer Science, Applied College, Tanumah, King Khalid University, Saudi Arabia. He has more than 14 years of teaching and research experience in computer science and data analytics. His research interests include big data, deep learning, machine learning, data science, the Internet of Things (IoT), artificial intelligence, and medical imaging, particularly for healthcare applications. Dr. Khan is pursuing a postdoctoral fellowship in the Faculty of Computing and Informatics at Multimedia University, Malaysia. He also serves remotely as a co-supervisor for postgraduate studies at Lincoln University College, Malaysia, and as a supervisor/co-supervisor for postdoctoral researchers in the Department of Computer Information Systems, Faculty of Information and Communication Technology, University of Malta. He has published more than 100 research articles in international refereed journals, including SCI-, SCIE-, and Scopus-indexed publications, and has contributed to international conference proceedings published through Springer, IEEE Xplore, and ACM. He has edited books for Springer, Wiley, Bentham Science, World Scientific, Nova Science Publishers, and Elsevier and has authored four books in computer science. He earned an MCA from Gautam Budh Technical University, India, and a PhD in big data analytics using deep learning from Noida International University, India.

Rajesh Dey, PhD
Professor and Principal, Camellia Institute of Engineering & Technology, Burdwan, West Bengal, India; Visiting Professor and IIC Convener, Gopal Narayan Singh University, Bihar, India

Rajesh Dey, PhD, is Professor and Principal at the Camellia Institute of Engineering & Technology, Burdwan, affiliated with Maulana Abul Kalam Azad University of Technology, West Bengal, India. He also serves as a visiting professor and IIC convener at Gopal Narayan Singh University, Bihar, India. A senior academic leader and researcher, Dr. Dey has more than 17 years of academic and industry experience. His areas of expertise include artificial intelligence, machine learning, signal processing, robotics, the Internet of Things (IoT), and embedded systems, with interdisciplinary applications in healthcare and smart systems. He has led internationally funded research projects and maintains research collaborations with institutions across Asia and Europe. His scholarly and editorial activities include service as an editor and guest editor for publications from Springer, Elsevier, Wiley, and Taylor & Francis. Dr. Dey is a Fellow of The Institution of Engineers (India), a Chartered Engineer, and a Certified Design Thinking Coach. He has received multiple national and international awards recognizing his contributions to research and academic excellence. He completed a postdoctoral fellowship at the International Islamic University Malaysia (IIUM) and holds a PhD in adaptive signal correction.

Vanita G. Kshirsagar, PhD
Associate Professor, Department of Artificial Intelligence and Data Science, Dr. D. Y. Patil Institute of Technology, Pune, Maharashtra, India

Vanita Kshirsagar, PhD, is an Associate Professor in the Department of Artificial Intelligence and Data Science at Dr. D. Y. Patil Institute of Technology. She has extensive experience in teaching, research, academic administration, and student mentoring. Her areas of expertise include machine learning, natural language processing, data science, and emerging domains in artificial intelligence, with an emphasis on applying AI-driven technologies to real-world challenges. Dr. Kshirsagar has published research papers in reputed journals and conference proceedings indexed in Scopus, including several papers in SCI-indexed journals. She has also served as an editor for a book published by CRC Press and contributes to the academic community as a reviewer for journals and conferences. In addition to her teaching and research activities, she has held significant institutional responsibilities, including serving as NAAC coordinator and autonomy coordinator, contributing to academic quality assurance and institutional development. She has guided undergraduate and postgraduate students and PhD scholars and has served as a co-guide for research scholars. Through her academic, administrative, and research activities, Dr. Kshirsagar continues to support student development, interdisciplinary research, and the practical application of artificial intelligence.




Follow us for the latest from Apple Academic Press:
Copyright © 2026 Apple Academic Press Inc. All Rights Reserved.