Artificial Intelligence in Healthcare and COVID-19
eBook - ePub

Artificial Intelligence in Healthcare and COVID-19

  1. 224 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence in Healthcare and COVID-19

About this book

Artificial Intelligence in Healthcare and COVID-19 showcases theoretical concepts and implementational and research perspectives surrounding AI. The book addresses both medical and technological visions, making it even more applied. With the advent of COVID-19, it is obvious that leading universities and medical schools must include these topics and case studies in their usual courses of health informatics to keep up with the pace of technological and medical advancements. This book will also serve professors teaching courses and industry practitioners and professionals working in the R&D team of leading medical and informatics companies who want to embrace AI and eHealth to fight COVID-19. Since AI in healthcare is a comparatively new field, there exists a vacuum of literature in this field, especially when applied to COVID-19. With the area of AI in COVID-19 being quite young, students and researchers usually face a struggle to rely on the few published papers (which are obviously too specific) or whitepapers by tech-giants (which are too wide). - Discusses the fundamentals and theoretical concepts of applying AI in healthcare pertaining to COVID-19 - Provides a landscape view to the applied aspect of AI in healthcare related COVID-19 through case studies and innovative applications - Discusses key concerns and challenges in the field of AI in eHealth during the pandemic, along with other allied fields like IoT, creating a broad platform of transdisciplinary discussion

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Yes, you can access Artificial Intelligence in Healthcare and COVID-19 by Parag Chatterjee,Massimo Esposito in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title of Book
  2. Cover image
  3. Title page
  4. Table of Contents
  5. Copyright
  6. List of contributors
  7. Preface
  8. Chapter 1 Improvement of mental health of frontline healthcare workers during COVID-19 pandemic using artificial intelligence
  9. Chapter 2 Effective algorithms for solving statistical problems posed by COVID-19 pandemic
  10. Chapter 3 Reconsideration of drug repurposing through artificial intelligence program for the treatment of the novel coronavirus
  11. Chapter 4 COVID-19: artificial intelligence solutions, prediction with country cluster analysis, and time-series forecasting
  12. Chapter 5 Graph convolutional networks for pain detection via telehealth
  13. Chapter 6 The role of social media in the battle against COVID-19
  14. Chapter 7 De-identification techniques to preserve privacy in medical records
  15. Chapter 8 Estimation of COVID-19 fatality associated with different SARS-CoV-2 variants
  16. Chapter 9 Artificial intelligence for chest imaging against COVID-19: an insight into image segmentation methods
  17. Index