Quantum 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.
1. Chapter 1. Introduction to quantum computing in healthcare - p. 1 2. Chapter 2. The evolution of healthcare: bridging conventional and quantum computing - p. 23 3. Chapter 3. Quantum computing in Healthcare 5.0 - p. 43 4. Chapter 4. Impact of quantum computing on healthcare data security - p. 63 5. Chapter 5. Challenges and opportunities in quantum computing in healthcare - p. 91 6. Chapter 6. Application of quantum artificial intelligence in healthcare - p. 119 7. Chapter 7. Integration of quantum artificial intelligence in healthcare system - p. 139 8. Chapter 8. Quantum machine learning models in healthcare: future trends and challenges in healthcare - p. 167 9. Chapter 9. Quantum data processing and analysis: revolutionizing data science - p. 189 10. Chapter 10. From theory to therapy: real-world application of quantum computing in healthcare - p. 215 11. Chapter 11. The future of quantum computing in healthcare - p. 229 12. Index - p. 253
Quantum 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.
1. Chapter 1. Introduction to quantum computing in healthcare - p. 1 2. Chapter 2. The evolution of healthcare: bridging conventional and quantum computing - p. 23 3. Chapter 3. Quantum computing in Healthcare 5.0 - p. 43 4. Chapter 4. Impact of quantum computing on healthcare data security - p. 63 5. Chapter 5. Challenges and opportunities in quantum computing in healthcare - p. 91 6. Chapter 6. Application of quantum artificial intelligence in healthcare - p. 119 7. Chapter 7. Integration of quantum artificial intelligence in healthcare system - p. 139 8. Chapter 8. Quantum machine learning models in healthcare: future trends and challenges in healthcare - p. 167 9. Chapter 9. Quantum data processing and analysis: revolutionizing data science - p. 189 10. Chapter 10. From theory to therapy: real-world application of quantum computing in healthcare - p. 215 11. Chapter 11. The future of quantum computing in healthcare - p. 229 12. Index - p. 253
