Full Description
Recently, the fields of Artificial Intelligence (AI) and the Internet of Things (IoT) have revolutionized numerous industries, including healthcare. The convergence of AI and IoT has given birth to smart healthcare systems, transforming the way we deliver, receive, and experience healthcare services. This book explores the profound impact of these technologies on healthcare and presents a comprehensive overview of their applications, challenges, and prospects.
Smart Healthcare Systems: AI and IoT Perspectives addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns. It also discusses healthcare as a multidisciplinary field that involves a range of sectors such as the financial system, social factors, health technologies, and organizational structures that affect individuals, families, institutions, organizations, and populations' healthcare. The book presents the goals of healthcare services which include patient safety, timeliness, effectiveness, efficiency, and equity. An outline of what smart healthcare consists of which is m-health, e-health, electronic resource management, smart and intelligent home services, and medical devices is included. Along with highlights on how AI and IoT-enabled healthcare technologies are suitable for remote health monitoring, including rehabilitation, and assisted ambient living. Rounding the offers of this book out is that it also covers how healthcare analytics can be applied to the data gathered from different areas to improve healthcare at a minimum expense.
Researchers, Academicians, Industry, R&D Organizations, medical professionals, PG students, and policymakers in the fields of artificial intelligence, the internet of things, healthcare informatics, biomedical engineering, medical informatics, and related subjects can use this book to assist them in making appropriate decisions regarding these emerging disciplines.
Contents
1. Artificial Intelligence enabled Internet of Medical Things for Enhanced Healthcare Systems. 2. Internet of Medical Things with Artificial Intelligence for Improved Healthcare Systems. 3.Block Chain for Transparent, Privacy Protected and Secure Health Data Management. 4. SPSHS: Security and Privacy Concerns in Smart Healthcare System. 5.Transforming Healthcare Engagement in the Med-Tech Industry through Digital Marketing. 6. Cloud and IoT Integration for Smart Healthcare. 7. IoT-based Effective Wearable Healthcare Monitoring System for Remote Areas. 8. Voice Signal-Based Disease Diagnosis using IoT and Learning Algorithms for Healthcare. 9. Artificial Intelligence-Enabled Internet of Medical Things for Enhanced Healthcare Systems. 10. Role of AI and IoT based medical diagnostics smart health care system for post-Covid-19 world. 11. Integrating Sensor, Actuators and IoT for Smart Healthcare in Post COVID-19 World. 12. Design and Implementation of 3D Printed Non-invasive Mechanical Ventilator Device Against COVID-19 Pandemic. 13. A Predictive method for Emotional Sentiment Analysis by Machine Learning from EEG of Brainwave Data. 14. Marvel of Biosensors in Smart Healthcare and Application of Internet of Medical Things for Diagnosis: Unveiling Benefits, Challenges and Futuristic Approach. 15. An Application of Hybrid Machine Learning Framework to Predict the Heart Diseases in Smart Healthcare Systems. 16.Role of Artificial Intelligence in Advancing Pancreatic Cancer Research. 17. Internet of Medical Things for Abnormality Detection in Infants using Mobile Phone App with Cry Signal Analysis. 18. An IoT Based Physician Decision Supporting System for Pediatric Disease Diagnosis. 19. Leveraging ChatGPT-like Large Language Models for Alzheimer's Disease: Enhancing Care, Advancing Research, and Overcoming Challenges. 20. Elderly Fall Detection Using Deep Learning Enabled Internet of Healthcare Things. 21. AI-Powered Internet of Medical Things for Monitoring Elderly Adults in Independent Living Environments. 22. Improving Elder Care: Vision-Based Wearable Technology for Fall Recognition and Prevention. 23. Is Rural India Forgoing the Benefits of Non-implementing AI-enabled Healthcare: A Prospective Analysis. 24.A review study of Machine Learning Algorithms for Diabetic Prediction Using PIMA dataset in Cloud Computing.
