Quantum Computing for Healthcare Data
Revolutionizing the Future of Medicine
- 1st Edition - January 17, 2025
- Editors: Nagasubramanian Gayathri, S. Rakesh Kumar, Valentina Emilia Balas
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 2 9 7 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 2 9 8 - 9
Quantum Computing for Healthcare Data: Revolutionizing the Future of Medicine presents an advanced overview of the fundamentals of quantum computing, from the transition of tradit… Read more
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Request a sales quoteQuantum Computing for Healthcare Data: Revolutionizing the Future of Medicine presents an advanced overview of the fundamentals of quantum computing, from the transition of traditional to quantum computing, to the challenges and opportunities encountered as various industries enter into the paradigm shift. The book investigates how quantum AI, quantum data processing, and quantum data analysis can best be integrated into healthcare data systems. The book also introduces a range of case studies which feature applications of quantum computing in connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery. The book will be a valuable resource for researchers, graduate students, and professional programmers and computer engineers working in the areas of healthcare data management and analytics, blockchain, IoT, and big data analytics.
- Explores the challenges and opportunities presented by quantum computing technology within healthcare data and applications
- Compares quantum machine learning models and analyzes which offer the most promise for healthcare data analytics
- Presents a range of case studies where quantum computing is starting to be applied, including connected medical devices, medical simulations, robotics, medical diagnosis, and drug discovery
Researchers, graduate students, and professionals working in the areas of quantum computing, blockchain, IoT, healthcare data management and analytics
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Chapter 1. Introduction to quantum computing in healthcare
- Abstract
- 1.1 Introduction
- 1.2 Quantum algorithms: an overview
- 1.3 Quantum computing in healthcare market dynamics
- 1.4 Conclusion
- References
- Chapter 2. The evolution of healthcare: bridging conventional and quantum computing
- Abstract
- 2.1 Introduction
- 2.2 Quantum security in healthcare sector
- 2.3 Conclusion
- References
- Chapter 3. Quantum computing in Healthcare 5.0
- Abstract
- 3.1 Introduction
- 3.2 Quantum computing applications in Healthcare 5.0
- 3.3 Healthcare 5.0 requirements
- 3.4 Quantum computing in radiotherapy: a new frontier in cancer treatment
- 3.5 Quantum-enabled innovations in radiotherapy
- 3.6 Optimizing treatment planning
- 3.7 Precision in dose calculation
- 3.8 Personalized cancer therapies
- 3.9 Challenges and considerations
- 3.10 Quantum computing in drug discovery and interactions
- 3.11 Quantum computing in genomics
- 3.12 Quantum computing in medical imaging devices
- 3.13 Quantum computing in telemedicine
- 3.14 Conclusion
- References
- Chapter 4. Impact of quantum computing on healthcare data security
- Abstract
- 4.1 Introduction
- 4.2 Healthcare data and its importance to society
- 4.3 Some recent scholarly works on healthcare data security using quantum computing
- 4.4 Healthcare data security using quantum computing
- 4.5 Impact and importance of quantum computing on healthcare data security
- 4.6 Conclusion
- References
- Chapter 5. Challenges and opportunities in quantum computing in healthcare
- Abstract
- 5.1 Introduction
- 5.2 Challenges in integrating quantum computing in healthcare
- 5.3 Opportunities in quantum computing for healthcare
- 5.4 Ethical, legal, social, and policy implications of quantum computing in healthcare
- 5.5 Conclusion
- References
- Chapter 6. Application of quantum artificial intelligence in healthcare
- Abstract
- 6.1 Introduction
- 6.2 Overview of quantum computing, artificial intelligence, and quantum artificial intelligence
- 6.3 Literature review
- 6.4 Importance of healthcare innovation
- 6.5 Fundamentals of quantum computing
- 6.6 Fundamentals of artificial intelligence
- 6.7 Quantum artificial intelligence: the convergence
- 6.8 Applications of quantum artificial intelligence in healthcare
- 6.9 Case studies
- 6.10 Impact of quantum artificial intelligence application in healthcare Fig. 6.1
- 6.11 Future directions
- 6.12 Conclusion
- References
- Chapter 7. Integration of quantum artificial intelligence in healthcare system
- Abstract
- 7.1 Introduction
- 7.2 Few used cases—quantum computing—healthcare
- 7.3 Artificial intelligence-powered quantum computing
- 7.4 Healthcare and quantum computing
- 7.5 Quantum computing for healthcare and its requirements
- 7.6 Architectures important for the applications healthcare
- 7.7 Quantum computing and artificial intelligence applications in data compilation for healthcare
- 7.8 Quantum computing for healthcare and its security issues
- 7.9 CT Scan and quantum algorithm
- 7.10 Transfer learning of circuit related to quantum computing (CV-19-related analysis)
- 7.11 Conclusion
- Important terms and abbreviations
- References
- Chapter 8. Quantum machine learning models in healthcare: future trends and challenges in healthcare
- Abstract
- 8.1 Introduction to quantum machine learning in healthcare
- 8.2 Recent advances in quantum machine learning algorithms
- 8.3 Challenges and ethical considerations in quantum machine learning deployment
- 8.4 Practical implementations and case studies
- References
- Chapter 9. Quantum data processing and analysis: revolutionizing data science
- Abstract
- 9.1 Introduction to quantum data processing
- 9.2 Quantum data processing concepts
- 9.3 Quantum data processing applications
- 9.4 Quantum data processing and data visualization
- 9.5 Future scope and challenges
- 9.6 Conclusion
- References
- Chapter 10. From theory to therapy: real-world application of quantum computing in healthcare
- Abstract
- 10.1 Introduction
- 10.2 Quantum computing and healthcare
- 10.3 Real-time case study
- 10.4 Discussion and conclusion
- References
- Chapter 11. The future of quantum computing in healthcare
- Abstract
- 11.1 Introduction
- 11.2 Related works
- 11.3 Theoretical background
- 11.4 Quantum machine learning
- 11.5 Results and discussion
- 11.6 Applications of quantum computing in healthcare domain
- 11.7 Cutting edge technologies in healthcare
- 11.8 Cloud services
- 11.9 Future prospects of quantum computing in healthcare
- 11.10 Conclusion
- References
- Index
- No. of pages: 300
- Language: English
- Edition: 1
- Published: January 17, 2025
- Imprint: Academic Press
- Paperback ISBN: 9780443292972
- eBook ISBN: 9780443292989
NG
Nagasubramanian Gayathri
N. Gayathri, PhD is an Assistant Professor in the Department of Computer Science and Engineering, GITAM University, Bengaluru. She has published 45+ published journal articles (SCI journals& Scopus indexed), presented papers in national/ international conferences, published book chapters, and edited books published with Wiley and CRC Press. Dr. Gayathri has 7 Indian patents, 1 Australian Patent, and she is a guest editor for Recent Patents on Computer Science. Her research interests include Big data Analytics, IoT and networks. She is an active reviewer for Bentham Science Journal, Mobile Networks and Applications, Expert Systems with Applications, Sustainable Computing: Informatics and Systems, IEEE Internet of Things, Expert Systems.
Affiliations and expertise
GITAM University, Bengaluru, IndiaSK
S. Rakesh Kumar
S. Rakesh Kumar, PhD is an Assistant Professor in the Department of Computer Science and Engineering, at GITAM University, Bengaluru. He has published reputed 40+ journal articles (SCI journals & Scopus indexed), presented papers in national/ international conferences, published book chapters in CRC Press, IGI global, Springer, Elsevier, and has edited books with Wiley and CRC Press. Dr. Kumar has six Indian patents and his research interests include Big data Analytics, IoT and networks, and cloud computing. He is an active reviewer in Bentham Science Journal, Mobile Networks and Applications, Expert systems with applications, Sustainable Computing: Informatics and Systems, IEEE Internet of Things, Expert systems.
Affiliations and expertise
GITAM University, Bengaluru, IndiaVE
Valentina Emilia Balas
Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, and an expert evaluator for national and international projects and PhD theses.
Affiliations and expertise
Full Professor, Department of Automatics and Applied Software, Faculty of Engineering, "Aurel Vlaicu" University of Arad, Arad, RomaniaRead Quantum Computing for Healthcare Data on ScienceDirect