Artificial Intelligence for Health 4.0: Challenges and Applications
- 390 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Artificial Intelligence for Health 4.0: Challenges and Applications
About this book
Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans, and lead to better patient outcomes overall. This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems. AI has countless applications in healthcare. Whether it's being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency; AI has been a boon to the healthcare industry.
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Information
Table of contents
- Cover Page
- Half Title page
- Series page
- Title Page
- Copyright Page
- Contents
- Preface
- Acknowledgment
- List of Contributors
- List of Figures
- List of Tables
- List of Abbreviations
- 1 Healthcare 4.0: A Systematic Review and Its Impact Over Conventional Healthcare System
- 2 Data Imaging, Clinical Studies, and Disease Diagnosis using Artificial Intelligence in Healthcare
- 3 Leveraging Artificial Intelligence in Patient Care
- 4 Patient Monitoring Through Artificial Intelligence
- 5 Artificial Intelligence: A Promising Approach Toward Targeted Drug Therapy in Cancer Treatment
- 6 Artificial-Intelligence-Based Cloud Computing Techniques for Patient Data Management
- 7 Role of Artificial Intelligence and Robotics in Healthcare
- 8 Artificial Intelligence and Machine Learning Approach for Development and Discovery of Drug
- 9 Artificial Intelligence in Boosting the Development of Drug
- 10 Artificial Intelligence in Medical Image Processing
- 11 Advancement of AI in Cancer Management: Role of Big Data
- 12 Targeted Drug Delivery in Cancer Tissues by Utilizing Big Data Analytics: Promising Approach of AI
- Index
- About the Authors
- About the Editors