The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Artificial Intelligence (AI) applications for COVID-19 pandemic
Open accessAbstract
Background and aims Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. Methods The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. Results We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Conclusions Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.
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Cites
Li, L., Qin, L., Xu, Z., Yin, Y., Wang, X., Kong, B., Bai, J., Lu, Y., Fang, Z., Song, Q., et al. (2020) · Radiology · doi:10.1148/radiol.2020200905 · Cited by 1,927
Digital technology and COVID-19
Ting, D. S. W., Carin, L., Dzau, V., & Wong, T. Y. (2020) · Nature Medicine · doi:10.1038/s41591-020-0824-5 · Cited by 1,413
Cited by
Precision medicine, AI, and the future of personalized health care
Johnson, K. B., Wei, W., Weeraratne, D., Frisse, M. E., Misulis, K., Rhee, K., Zhao, J., & Snowdon, J. L. (2021) · Clinical and Translational Science · doi:10.1111/cts.12884 · Cited by 1,854
Lalmuanawma, S., Hussain, J., & Chhakchhuak, L. (2020) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2020.110059 · Cited by 845
Internet of things (IoT) applications to fight against COVID-19 pandemic
Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2020.04.041 · Cited by 664
Self-citationGolinelli, D., Boetto, E., Carullo, G., Nuzzolese, A. G., Landini, M. P., & Fantini, M. P. (2020) · Journal of Medical Internet Research · doi:10.2196/22280 · Cited by 574
Zhang, B., Shi, H., & Wang, H. (2023) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s410301 · Cited by 347
Metadata
- Authors
- Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A.
- Venue
- Diabetes & Metabolic Syndrome: Clinical Research & Reviews
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 14
- Issue
- 4
- Pages
- 337-339
- ISSN
- 1871-4021 (ISSN-L)
- OpenAlex
- W3017117984
- Cited by
- 1,497
- References
- 2
- FWCI
- 68.34
- Type
- journal article
- Language
- en
- Open access
- green
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- Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. https://doi.org/10.1016/j.dsx.2020.04.012
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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