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

Quantum-Powered Healthcare

In Production
Pub Date: Forthcoming October 2027
Hardback Price: $190 US | £150 UK
Hard ISBN: 9781834650128
E-Book ISBN: 9781834650135
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 at King Khalid University’s Applied College in Tanumah, 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 analytics, deep learning, machine learning, data science, the Internet of Things, and artificial intelligence, particularly their applications in medical imaging and healthcare. Dr. Khan’s remote postdoctoral fellowship at Multimedia University, Malaysia, spans 2024–2026. He serves remotely as a postgraduate co-supervisor in computer science at Lincoln University College, Malaysia, and supervises postdoctoral researchers in the Department of Computer Information Systems at the University of Malta. Dr. Khan has published more than 100 research articles, including papers in peer-reviewed journals indexed in SCI, SCIE, and Scopus. He has presented at international conferences and published proceedings papers through Springer, IEEE, and ACM. He has authored four books on computer science and edited volumes for Springer, Wiley, Bentham Science, World Scientific, Nova Publishers, and Elsevier. He has served on technical program, organizing, advisory, and review committees for more than 50 conferences. He earned his MCA from Gautam Budh Technical University and his PhD from Noida International University, where he studied big data analytics using deep learning.

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 a Professor and Principal at the Camellia Institute of Engineering and Technology in Burdwan, West Bengal, India. The institute is affiliated with Maulana Abul Kalam Azad University of Technology. Dr. Dey also serves as a visiting professor and convener of the Institution’s Innovation Council at Gopal Narayan Singh University in Bihar, India. Dr. Dey has more than 17 years of experience in academia and industry. His research covers artificial intelligence, machine learning, signal processing, robotics, the Internet of Things, and embedded systems. His work brings these areas together in applications for healthcare and smart systems. He has led internationally funded research projects and collaborates with institutions across Asia and Europe. His editorial work includes appointments as an editor or guest editor for publications from Springer, Elsevier, Wiley, and Taylor & Francis. A Fellow of The Institution of Engineers (India) and a Chartered Engineer, Dr. Dey has received national and international awards for research and academic excellence. He is also a certified design thinking coach. He holds a PhD in adaptive signal correction and is a postdoctoral fellow at International Islamic University Malaysia

Vanita G. Kshirsagar, PhD
Associate Professor, Department of Computer Engineering, MIT Academy of Engineering, Pune, India

Vanita G. Kshirsagar, PhD, is an Associate Professor at MIT Academy of Engineering in Alandi, Pune, India. She has more than 20 years of teaching and research experience in artificial intelligence, machine learning, data science, and related areas. Her work as a research supervisor includes guiding ME and PhD students on projects in artificial intelligence and data science. Dr. Kshirsagar has secured ?4.5 lakh in funding from the All India Council for Technical Education’s Training and Learning Academy (AICTE–ATAL) to conduct faculty development programs. The funding supported programs in both online and in-person formats. Dr. Kshirsagar has published more than 35 research papers in Scopus-indexed journals, including journals ranked in the first and second quartiles (Q1 and Q2). She is also a research fellow at INTI International University, Malaysia, and has served as a keynote speaker at international conferences organized by the university.




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