Khamis, Alaa and Meng, Jun and Wang, Jin and Azar, Ahmad Taher and Prestes, Edson and Haidegger, Tamás (2022) AI and Robotics in the Fight Against COVID-19 Pandemic. In: Modeling, Control and Drug Development for COVID-19 Outbreak Prevention. Studies in Systems, Decision and Control (366). Springer International Publishing, Cham, pp. 1-26. ISBN 978-3-030-72833-5 (hardcover); 978-3-030-72834-2 (eBook) (In Press)
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Abstract
The outbreak of the novel coronavirus and its disease, COVID-19 present an unprecedented challenge for humanity. Artificial Intelligence (AI) and robotics may help fighting COVID-19. Potential applications of AI in this accelerating pandemic include, but are not limited to, early detection and diagnosis, massive agent modeling and simulation, data analytics, assistive robots, disinfection robots, public awareness and patrolling, contactless delivery services, virtual healthcare assistants, drug repurposing and vaccination discovery. This chapter sheds light on the roles AI and robotics can play in fighting this disastrous pandemic, and possible future ones. It highlights several potential applications to transform this challenge into opportunities. This chapter also discusses the ethical implications of AI and robotics during the pandemic and in the post-pandemic world.
| Item Type: | Book Section |
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| Subjects: | R Medicine / orvostudomány > RA Public aspects of medicine / orvostudomány társadalmi szerepe > RA0421 Public health. Hygiene. Preventive Medicine / közegészségügy, higiénia, betegség-megelőzés T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában |
| Depositing User: | Dr. Tamas Haidegger |
| Date Deposited: | 01 Oct 2021 11:05 |
| Last Modified: | 01 Oct 2021 11:05 |
| URI: | http://real.mtak.hu/id/eprint/131795 |
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