Academic Press Artificial Intelligence in Healthcare and COVID-19 (Intelligent Data-Centric Systems)

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). Review Sheds light on one of the hottest topics of today, using AI to help combat COVID-19 From the Back Cover Since the AI in healthcare is a comparatively new field, there exists a vacuum of literature in this field, especially applied to COVID-19. The area of AI in COVID-19 being quite young, the students and researchers usually face a struggle to rely on few published papers (which are obviously too specific) or white-papers by tech-giants (which are too wide). Artificial Intelligence in Healthcare and COVID-19 bridges this gap and provide a comprehensive guide to the field, showcasing the theoretical concepts as well as the implementational and research perspectives of AI in healthcare to combat COVID-19. Moreover, in the domain of Artificial Intelligence and COVID-19, a proper fusion of medical and technological perspectives is necessary, to create solutions in combating the pandemic issues. This book addresses this area by adding medical and technological visions at the same time, making it even more applied. With the advent of COVID-19, it is obvious that leading universities and medical schools need to include the topics and case studies of Artificial Intelligence in Healthcare and COVID-19 in their usual courses of health informatics, to keep up with the pace of technological and medical advancements. This book also serves professors teaching these courses. Also, there are industry practitioners and professionals, working in the R&D team of leading medical and informatics companies who are bound to embrace AI and eHealth to fight COVID-19. The lack of a comprehensive literature makes it a herculean task for them to get a one-stop holistic view of the field. This book will serve them too in a significant way. About the Author 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. Senior Researcher, Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), Naples, Italy