Abstract
Objectives: The aim is to study the potential contribution of AI technologies and tools to all aspects of the COVID-19 crisis response. Methods: The research puts together the combined perspectives of rapid analysis of the literature conducted on the Google Scholar, Scopus, and PubMed database using the artificial intelligence or AI and COVID-19 or Coronavirus keyword. Findings: In this research, we have gathered the latest AI information for COVID-19 and then evaluated it to identify its possible applications to highlight substantial opportunities, challenges and research directions agendas resulting from the rapid introduction of AI in a number of areas: health care, psychiatry, education, packaging industry, data and network security, and Business-to-Business (B2B) Marketing Industry during COVID-19.
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References
Technologies, L.: Learnitude Technologies (Internet). Learntechx.com (cited 13 June 2020) (2020). Available from: https://learntechx.com/blog/applications-of-artificial-intelligence-in-top-10-areas
Ahuja, A., Reddy, V., Marques, O.: Artificial intelligence and COVID-19: a multidisciplinary approach. Integr. Med. Res. 100434 (2020)
Thomas, A.: Significance of AI-based mental healthcare systems Amid Covid-19. Analytics India Magazine (2020). https://analyticsindiamag.com/significance-of-ai-based-mental-healthcare-systems-amid-social-distancing-measures/. Last accessed: 23/09/2020
https://www.healtheuropa.eu/ai-in-psychiatry-detecting-mental-illness-with-artificial-intelligence/95028/. Last accessed: 23/09/2020
D’Alfonso, S.: AI in Mental Health. Current Opinion in Psychology (2020)
Editorial, G.: AI applications to intelligent vehicles for advancing intelligent transport systems. IET Intel. Transp. Syst. 14(5), 267–269 (2020)
Dickson, B.: How artificial intelligence is changing education-TechTalks. https://bdtechtalks.com/2017/03/09/artificial-intelligence-education-edtech/. Last accessed: 23/09/2020
Editorial, G.: Big data analytics and artificial intelligence (AI) applications for smart transportation-selected papers from world transportation congress (WTC) 2018. IET Intel. Transp. Syst. 13(3), 425–426 (2019)
Kurpjuhn, T.: Demystifying the role of AI for better network security. Netw. Secur. 2019(8), 14–17 (2019)
Alshanbari, R., Khan, S., El-Atab, N., Mustafa Hussain, M.: AI powered unmanned aerial vehicle for payload transport application. In: 2019 IEEE National Aerospace and Electronics Conference (NAECON) (2019)
AI in Packaging industry a Smart Solution for the Future-. Day One (2020). https://www.day1tech.com/ai-in-packaging-industry-a-smart-solution-for-the-future-day-one/. Last accessed: 23/09/2020
Miklosik, A., Kuchta, M., Evans, N., Zak, S.: Towards the adoption of machine learning-based analytical tools in digital marketing. IEEE Access 7, 85705–85718 (2019)
https://www.packaginginsights.com/news/ai-in-packaging-how-artificial-intelligence-is-driving-the-packaging-industry-forward.html. Last accessed: 23/09/2020
Hollstein, K., Weide-Zaage, K.: Advances in packaging for emerging technologies. 2020 Pan Pacific Microelectronics Symposium (Pan Pacific) (2020)
How COVID-19 Could Accelerate AI Adoption in the B2B Marketing (Internet). AiThority (cited 13 June 2020) (2020). Available from: https://www.aithority.com/guest-authors/how-covid-19-could-accelerate-ai-adoption-in-the-b2b-marketing-industry/
Vaishya, R., Javaid, M., Khan, I., Haleem, A.: Artificial intelligence (AI) applications for COVID-19 pandemic. Diabetes Metab. Syndr. 14(4), 337–339 (2020)
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Raval, C.U., Vaghela, P., Budhrani, A., Kevadiya, R.V. (2022). Applications of Artificial Intelligence in the Context of Challenges Amid COVID-19. In: Joshi, A., Mahmud, M., Ragel, R.G., Thakur, N.V. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2020). Lecture Notes in Networks and Systems, vol 191. Springer, Singapore. https://doi.org/10.1007/978-981-16-0739-4_49
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DOI: https://doi.org/10.1007/978-981-16-0739-4_49
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