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Handbook on Augmenting Telehealth Services
Using Artificial Intelligence
Sonali Vyas,Sunil Gupta,Monit Kapoor,Samiya Khan
- 390 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Handbook on Augmenting Telehealth Services
Using Artificial Intelligence
Sonali Vyas,Sunil Gupta,Monit Kapoor,Samiya Khan
About This Book
Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems.
Features
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- Provides knowledge of AI-empowered telehealth systems for efficient healthcare services
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- Discusses novel innovations in telehealth using AI techniques
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- Covers emerging tools and techniques in smart health systems
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- Highlights remote diagnosis of patients
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- Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services
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- Shines a light on future trends in AI-enabled telehealth systems
Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.
Frequently asked questions
Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Dedication
- Contents
- Foreword
- Preface
- Editorsâ Biography
- Contributors
- 1 Artificial Intelligence and Healthcare
- 2 Revolutionizing Healthcare: Impact of Artificial Intelligence in Disease Diagnosis, Treatment, and Patient Care
- 3 Applications of Healthcare Products with AI Capability in Disease Diagnosis
- 4 Application of AI for Disease Prediction
- 5 The Power of AI in Telemedicine: Improving Access and Outcomes
- 6 AI Ethics and Challenges in Healthcare
- 7 The Future of the Healthcare System: A Meta-Analysis of Remote Patient Monitoring
- 8 Artificial Intelligence for Healthcare Delivery System: Future Prospective
- 9 Contemporary Practice of Automated Machine Learning for Clinical Repository in the Medicinal Field
- 10 Smart Innovative Medical Devices Based on Artificial Intelligence
- 11 Virtual Consultation: Scope and Application in Healthcare
- 12 Advance and Smart Healthcare System: A Case Study Calo â An AI-Based Health Utility Mobile Application
- 13 Remote Patient Monitoring: An Overview of Technologies, Applications, and Challenges
- 14 Artificial Intelligence and Augmented Reality: Legal and Ethical Issues in the Telemedicine/Telehealth Sphere
- 15 Telemedicine: Patient Monitoring and Electronic Healthcare Record Storage
- 16 Gastric Cancer Diagnosis Using Machine Learning Techniques: A Survey
- 17 Blockchain and Artificial Intelligence in Telemedicine and Remote Patient Monitoring
- 18 The Prediction of Critical Health Diseases Using Artificial Intelligence with Lung Cancer as a Case Study
- 19 Revolutionizing Healthcare: The Impact of Augmented and Virtual Reality
- 20 Augmented and Virtual Reality-Based Interventions for Learning Disabilities: Current Practices and Future Prospects
- 21 Employ Metrics in the Data Warehouse's Requirements Model for Hospitals
- 22 Paving the Way for Healthcare with AI, ML, and DL: Opportunities, Challenges, and Open Issues
- Index