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Artificial Intelligence in Healthcare and COVID-19

  • 1st Edition - May 21, 2023
  • Latest edition
  • Editors: Parag Chatterjee, Massimo Esposito
  • Language: English

Artificial Intelligence in Healthcare and COVID-19 showcases theoretical concepts and implementational and research perspectives surrounding AI. The book addresses both medical a… Read more

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Description

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).

Key features

  • 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

Readership

Researchers, Professors and Postgraduate students working in the field of Artificial Intelligence in healthcare and biomedical engineering, Industry professionals who work in the field of healthcare informatics, especially in the areas of IoT and predictive health

Table of contents

1. Introduction

2. Technological solutions regarding mental health of frontline healthcare workers during COVID-19 pandemic using artifical intelligence

3. Effective algorithms for solving statistical problems posed by the COVID-19 andemic

4. Artifical intelligence to analyse pharmaceutical interventions for COVID-19

5. Covid-19: artificial intelligence solutions, prediction with country cluster analysis and time series forecasting

6. Graph convolutional networks for pain detection via telehealth

7. The role of social media in the battle against COVID-19

8. De-identification techniques to preserve privacy in medical record

9. Estimation of COVID-19 fatality associated to different SARS-CoV-2 variants

10. Artificial intelligence for segmenting CT chest imaging in the fight of COVID-19

Product details

  • Edition: 1
  • Latest edition
  • Published: May 24, 2023
  • Language: English

About the editors

PC

Parag Chatterjee

Parag Chatterjee works as an Assistant Professor at the Department of Biological Engineering (Area of Informatics) in the University of the Republic (Universidad de la República), Uruguay and also as a Research Professor at National Technological University (Universidad Tecnológica Nacional) in Buenos Aires, Argentina. After graduating in Computer Science from University of Calcutta, India., currently he is working in the field of Internet of Things, especially in the aspects of eHealth, to research on the methodologies for better prevention of cardiometabolic diseases and aging. Chatterjee has authored several scientific papers, published in international journals and presented at international conferences.
Affiliations and expertise
Assistant Professor, Department of Biological Engineering, University of the Republic (Universidad de la República), Rincón, Paysandú, Uruguay; Research Professor, National Technological University (Universidad Tecnológica Nacional), Medrano, Buenos Aires, Capital Federal, Argentina

ME

Massimo Esposito

Senior Researcher, Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), Naples, Italy
Affiliations and expertise
Institute for High Performance Computing and Networking (ICAR), Naples, Italy

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