Applications of Artificial Intelligence in COVID-19

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Applications of Artificial Intelligence in COVID-19
(Medical Virology: From Pathogenesis to Disease Control)
by Sachi Nandan Mohanty (Editor), Shailendra K. Saxena (Editor), Suneeta Satpathy (Editor), Jyotir Moy Chatterjee (Editor)
English | 935 pages | Springer (September 29, 2021) | 9811573166 | EPUB,PDF | 81.18 Mb

The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

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