The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Mapping the landscape of Artificial Intelligence applications against COVID-19
Open accessAbstract
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million confirmed cases as of August 5, 2020. In this review, we present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence, to tackle many aspects of the COVID19 crisis. We have identified applications that address challenges posed by COVID-19 at different scales, including: molecular, by identifying new or existing drugs for treatment; clinical, by supporting diagnosis and evaluating prognosis based on medical imaging and non-invasive measures; and societal, by tracking both the epidemic and the accompanying infodemic using multiple data sources. We also review datasets, tools, and resources needed to facilitate Artificial Intelligence research, and discuss strategic considerations related to the operational implementation of multidisciplinary partnerships and open science. We highlight the need for international cooperation to maximize the potential of AI in this and future pandemics.
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Cites
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Cited by
Shi, F., Wang, J., Shi, J., Wu, Z., Wang, Q., Tang, Z., He, K., Shi, Y., & Shen, D. (2021) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2020.2987975 · Cited by 1,404
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Shorten, C., Khoshgoftaar, T. M., & Furht, B. (2021) · Journal of Big Data · doi:10.1186/s40537-020-00392-9 · Cited by 350
Enabling AI capabilities in government agencies: A study of determinants for European municipalities
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Metadata
- Authors
- Bullock, J., Luccioni, A., Hoffman Pham, K., Sin Nga Lam, C., & Luengo-Oroz, M.
- Venue
- Journal of Artificial Intelligence Research
- Publisher
- AI Access Foundation
- Published
- 2020-11-19
- Volume
- 69
- Pages
- 807-845
- ISSN
- 1076-9757 (ISSN-L)
- OpenAlex
- W3013772641
- Cited by
- 348
- References
- 80
- FWCI
- 31.04
- Type
- journal article
- Language
- en
- Open access
- diamond
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