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Article
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https://doi.org/10.31219/osf.i...
Article . 2023 . Peer-reviewed
Data sources: Crossref
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"The positive impact of artificial intelligence in future pandemics"

Authors: Nicolas Castillo;

"The positive impact of artificial intelligence in future pandemics"

Abstract

This scientific article explores the potential of artificial intelligence (AI) to mitigate and prevent future pandemics. Through a comprehensive analysis of current AI applications in the field of health, the unique capabilities of this technology to address pandemic challenges are highlighted. AI can improve early disease detection through the analysis of large volumes of data, enabling more effective epidemiological surveillance. Additionally, AI models can predict disease spread and assist experts in making informed decisions regarding control measures. AI also plays a crucial role in the development of vaccines and drugs, accelerating the discovery and optimization process. Furthermore, AI can support remote healthcare by facilitating telemedicine and real-time patient monitoring. While there are ethical and privacy challenges associated with the use of AI, it is evident that this technology can play a fundamental role in preparing for and responding to future pandemics, significantly improving global health and societal well-being.

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze
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