Artificial Intelligence in Healthcare and COVID-19: A Comprehensive Guide

Artificial Intelligence in Healthcare and COVID-19, authored by Parag Chatterjee, delves into the theoretical concepts, implementation, and research perspectives of AI in the healthcare sector, with a special focus on the ongoing COVID-19 pandemic. The book provides a balanced view of both medical and technological aspects, making it an essential read for professionals and researchers in the field.

With the rapid spread of COVID-19, leading universities and medical schools are now incorporating AI and health informatics into their curricula to keep pace with technological and medical advancements. This book serves as a valuable resource for professors teaching these courses, as well as industry practitioners and professionals working in the R&D teams of leading medical and informatics companies who aim to leverage AI and eHealth to combat COVID-19.

As AI in healthcare is a relatively new and evolving field, there exists a significant gap in literature, particularly when applied to COVID-19. Students and researchers often struggle to find reliable sources, with published papers being too specific and whitepapers by tech giants being too broad. This book bridges this gap by providing a comprehensive overview of the fundamentals and theoretical concepts of applying AI in healthcare, specifically in the context of COVID-19.

It offers a landscape view of the applied aspects of AI in healthcare related to COVID-19 through case studies and innovative applications. Moreover, it 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.

Published by Elsevier Science in May 2023, this book is available in English and can be identified by the ISBNs 9780323905312 and 9780323905732. It is an indispensable resource for anyone interested in understanding the role of AI in combating COVID-19 and improving healthcare services.