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Artificial Intelligence in Healthcare and COVID-19, authored by Parag Chatterjee, delves into the theoretical concepts, implementational, and research perspectives surrounding AI in the healthcare sector, particularly in the context of the COVID-19 pandemic. This book serves as a valuable resource for both medical and technological visions, making it highly applied and relevant to contemporary challenges.
With the ongoing COVID-19 pandemic, it has become increasingly evident that leading universities and medical schools must incorporate these topics and case studies into their health informatics courses to keep pace with technological and medical advancements. This book is an essential read 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.
Given that AI in healthcare is a relatively new field, there exists a significant gap in literature, especially when applied to COVID-19. As a result, students and researchers often struggle to find reliable sources, such as published papers (which are often too specific) or whitepapers by tech giants (which can be too broad). This book aims to fill this void by providing a comprehensive overview of the fundamentals and theoretical concepts of applying AI in healthcare, particularly in relation to COVID-19.
Key features of the book include:
Published by Elsevier Science in May 2023, this book is available in English and features ISBNs 9780323905312 and 9780323905732. It serves as a valuable resource for those seeking to understand the role of AI in healthcare, particularly in the context of the ongoing COVID-19 pandemic.
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