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Artificial intelligence in healthcare for the elderly /

Artificial Intelligence in Healthcare for the Elderly provides valuable insights into how artificial intelligence can transform healthcare through personalized monitoring, ethical considerations, and real-world applications. Artificial intelligence has the potential to revolutionize healthcare for t...

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Bibliographic Details
Format: eBook
Language:English
Published: Hoboken, NJ : Beverly, MA : John Wiley & Sons, Inc. ; Scrivener Publishing LLC, 2025.
Subjects:
Older people > Medical care > Technological innovations.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Series Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Chapter 1 Smart Aging: Harnessing Artificial Intelligence in Elderly Healthcare
  • 1.1 Introduction
  • 1.1.1 Overview of AI Applications in Healthcare
  • 1.1.2 Importance of AI in Addressing Healthcare Challenges for the Elderly
  • 1.2 Demographics and Aging Population
  • 1.2.1 Statistics on the Aging Population
  • 1.2.2 Healthcare Implications and Challenges of an Aging Society
  • 1.3 Healthcare Needs of the Elderly
  • 1.3.1 Common Health Issues Among the Elderly
  • 1.3.2 Unique Challenges in Providing Healthcare for Seniors
  • 1.4 Current Healthcare Technologies for the Elderly
  • 1.4.1 Overview of Existing Healthcare Technologies
  • 1.4.2 Limitations and Gaps in Current Solutions
  • 1.5 AI in Diagnostics and Early Detection
  • 1.5.1 Use of AI for Early Detection of Diseases
  • 1.5.2 Diagnostic Applications in Geriatric Medicine
  • 1.6 Remote Monitoring and Telehealth
  • 1.6.1 AI-Enabled Remote Monitoring for the Elderly
  • 1.6.2 Telehealth Solutions and Their Impact on Elderly Care
  • 1.7 Personalized Medicine for the Elderly
  • 1.7.1 Tailoring Healthcare Interventions Based on Individual Characteristics
  • 1.7.2 AI Applications in Personalized Treatment Plans
  • 1.8 Cognitive Assistance and Mental Health
  • 1.8.1 AI Solutions for Cognitive Assistance
  • 1.8.2 Addressing Mental Health Challenges in the Elderly through AI
  • 1.9 Ethical Considerations and Privacy Issues
  • 1.9.1 Ethical Challenges in Implementing AI in Healthcare
  • 1.9.2 Ensuring Privacy and Security in AI-Powered Healthcare for the Elderly
  • 1.10 Integration of AI into Healthcare Systems
  • 1.10.1 Challenges and Opportunities in Integrating AI into Existing Healthcare Infrastructure
  • 1.10.2 Strategies for Successful Implementation
  • 1.11 Future Trends and Innovations
  • 1.11.1 Emerging Technologies in AI for Elderly Healthcare
  • 1.12 Conclusion
  • References
  • Chapter 2 Telehealth Use Among Older Adults During COVID 19
  • 2.1 Introduction
  • 2.2 Telehealth in Geriatrics
  • 2.2.1 Patient Safety
  • 2.2.1.1 Care Coordination
  • 2.2.1.2 Fall Prevention and Home Safety
  • 2.2.1.3 Medication Review
  • 2.2.2 Remote Health Assessment
  • 2.2.2.1 Functional Status
  • 2.2.2.2 Frailty
  • 2.2.2.3 Nutritional Status
  • 2.2.2.4 Medicare Annual Wellness Visit
  • 2.2.3 Chronic Disease Management
  • 2.2.3.1 Dementia
  • 2.2.3.2 Depression
  • 2.2.3.3 Heart Failure (HF)
  • 2.2.3.4 Diabetes Mellitus
  • 2.2.3.5 Hypertension
  • 2.3 Role of Telehealth During the COVID Pandemic for the Elderly
  • 2.3.1 Telehealth SWOT Analysis
  • 2.3.2 Implementation of Telehealth Use for Geriatrics
  • 2.3.2.1 The COVID-19 Pandemic Has Significantly Impacted the Availability, Accessibility, Affordability, and Quality of Telehealth in Geriatric Care